Skip to content

Fraud Detection Dataset

Author License Homepage Contributor

Tags: fraud detection, loan application

Fraud Detection Dataset Generated by Wey's fraud-detection-datagen, see more details on this blog: Fraud Fetection with NebulaGraph Download

Data Showcase

Screen Capture

Schema

CREATE TAG corp (corp_name string, phone_num string, is_risky string, risk_comment string);
CREATE TAG application (apply_agent_id string, apply_date date, application_uuid string, approval_status string, application_type string, rejection_reason string);
CREATE TAG phone_num (phone_num string);
CREATE TAG device (device_id string);
CREATE TAG person (name string);
CREATE TAG applicant (name string, gender string, birth date, addr string, degree string, occupation string, year_salary string, is_risky string, risk_comment string);

CREATE EDGE applied_for_loan (start_time date); 
CREATE EDGE with_phone_num (start_time date);
CREATE EDGE is_related_to (start_time date, level int);
CREATE EDGE worked_for (start_time date);
CREATE EDGE used_device (start_time date);
Download DDL

graph TD
  A[corp]
  B[application]
  C[phone_num]
  D[device]
  E[person]
  F[applicant]

  A -->|applied_for_loan| B
  B -->|with_phone_num| C
  C -->|used_device| D
  D -->|is_related_to| E
  E -->|worked_for| F

  style A fill:#f9d,stroke:#333,stroke-width:3px;
  style B fill:#fcc,stroke:#333,stroke-width:3px;
  style C fill:#cfc,stroke:#333,stroke-width:3px;
  style D fill:#ccf,stroke:#333,stroke-width:3px;
  style E fill:#a44,stroke:#333,stroke-width:3px;
  style F fill:#18d,stroke:#333,stroke-width:3px;


classDiagram
  class corp {
      string corp_name
      string phone_num
      string is_risky
      string risk_comment
  }
  class application {
      string apply_agent_id
      string apply_date
      string application_uuid
      string approval_status
      string application_type
      string rejection_reason
  }
  class phone_num {
      string phone_num
  }
  class device {
      string device_id
  }
  class person {
      string name
  }
  class applicant {
      string name
      string gender
      date birth
      string addr
      string degree
      string occupation
      string year_salary
      string is_risky
      string risk_comment
  }

  applicant --> application : applied_for_loan(start_time date)
  application --> phone_num : with_phone_num(start_time date)
  applicant --> device : used_device(start_time date)
  device --> person : is_related_to(level int)
  applicant --> corp : worked_for(start_time date)
  person --> applicant : is_related_to(start_time date)
  person --> phone_num : with_phone_num(start_time date)
  corp --> phone_num : with_phone_num(start_time date)

  style corp fill:#f9d,stroke:#333,stroke-width:3px;
  style applicant fill:#fcc,stroke:#333,stroke-width:3px;
  style application fill:#cfc,stroke:#333,stroke-width:3px;
  style phone_num fill:#ccf,stroke:#333,stroke-width:3px;
  style device fill:#a44,stroke:#333,stroke-width:3px;
  style person fill:#18d,stroke:#333,stroke-width:3px;

Sample Data

loan_application_id_1 address_1 degree_1 occupation_1 salary_1 is_risky_1 risk_profile_1 apply_agent_id_1 apply_date_1 application_uuid_1 approval_status_1 application_type_1 rejection_reason_1 applied_for_loan_start_time_1 loan_application_id_0 address_0 degree_0 occupation_0 salary_0 is_risky_0 risk_profile_0 apply_agent_id_0 apply_date_0 application_uuid_0 approval_status_0 application_type_0 rejection_reason_0 applied_for_loan_start_time_0 applicant_id_0 applicant_id_1 pn_id name_0 gender_0 birthday_0 name_1 gender_1 birthday_1
la_p_23897 57449\ Emily\ Inlet\ Suite\ 981\ East\ Kimberly\ \ WI\ 17822 Master Designer\ \ industrial/product 123749 False 46668b5759886e51b726f0a8865bf966 2009-05-25 d3f01380469f60e9c308da2aa877f313 Approved Credit 2009-05-25 la_p_1 943\ Brittany\ Forge\ Apt.\ 718\ East\ Eric\ \ WV\ 97881 Master Public\ relations\ officer 694483 False a8ea9313ed04f4da42a0563306bbe0cb 2008-05-23 4e858dbb77b894b1b70b5f90a27c4ee1 Approved Credit 2008-05-23 p_1 p_3009 pn_51760 Miranda Miller M 1957-08-27 Jacob Smith F 2001-12-26
la_p_23898 4100\ Scott\ Shore\ Suite\ 884\ South\ Johnmouth\ \ SC\ 27867 Master Translator 138235 False abe7339ae4d55b71ab5bcf36934c67f1 2019-01-13 dcba55b23f959d33df0fa0407eb464d5 Approved Credit 2019-01-13 la_p_2 22071\ Amanda\ Freeway\ Lisaland\ \ NJ\ 94933 Master Banker 603860 False e4a278734d409f43b83e2482a9b1246a 1992-07-05 68382c45c04ab9259c468c0049a2f4d9 Approved Credit 1992-07-05 p_1 p_14645 pn_38475 Miranda Miller M 1957-08-27 Brian Smith M 1980-11-23
la_p_23899 088\ Smith\ Gardens\ Luishaven\ \ DC\ 38237 PhD Development\ worker\ \ international\ aid 204830 False 44b843b2469d8e0e70f4b190dffe8f0a 2000-02-17 3ece3602d299533aa3f68bf45205cd17 Approved Loan 2000-02-17 la_p_3 0295\ Rodriguez\ Track\ East\ Connorfort\ \ NC\ 63144 Master Communications\ engineer 113752 True Soon high beat center sound class store. 633fc21592bfd6ef496f4cede7c9d4d8 1994-10-21 37d575a5adc300bdc076d800f21ddbfe Approved Credit 1994-10-21 p_1 p_19932 pn_10 Miranda Miller M 1957-08-27 April Richardson F 2016-12-27
la_p_23900 Unit\ 6485\ Box\ 9249\ DPO\ AE\ 37202 Bachelor Dietitian 619939 False 641185db4961ec4722a9ce0b0bd690d9 2000-10-25 aea6f3a359a989eb22ba14561cee9600 Approved Loan 2000-10-25 la_p_4 107\ Richard\ Curve\ Kingstad\ \ AZ\ 05660 PhD Arts\ development\ officer 270147 False 3fe7348ed258bd1e1a8d93084331a18a 2021-07-15 4756a9e01080105ae6b0018234841308 Approved Loan 2021-07-15 p_1 p_96908 pn_37140 Miranda Miller M 1957-08-27 Kayla Ferguson M 1970-09-25
corp_id corp_name corp_address is_risky risk_profile
co_1 Hendrix_Mckenzie\ and\ Perry USCGC\ Johnson\ FPO\ AA\ 44239 False NA
co_2 Irwin\ PLC USNS\ Walton\ FPO\ AP\ 44570 False NA
co_3 Johnson\ Ltd 38084\ Tran\ Crescent\ Ellenland\ \ MT\ 28211 False NA
co_4 Kline-Jackson 093\ Jonathan\ Motorway\ Lake\ Christopher\ \ UT\ 78313 False NA
loan_application_id_1 address_1 degree_1 occupation_1 salary_1 is_risky_1 risk_profile_1 apply_agent_id_1 apply_date_1 application_uuid_1 approval_status_1 application_type_1 rejection_reason_1 applied_for_loan_start_time_1 loan_application_id_0 address_0 degree_0 occupation_0 salary_0 is_risky_0 risk_profile_0 apply_agent_id_0 apply_date_0 application_uuid_0 approval_status_0 application_type_0 rejection_reason_0 applied_for_loan_start_time_0 applicant_id_0 applicant_id_1 corp_id pn_id src_work_for_start_time name_0 gender_0 birthday_0 name_1 gender_1 birthday_1
la_v_5975 686\ Hill\ Manor\ Suite\ 867\ South\ Nicoleburgh\ \ UT\ 91323 Master Visual\ merchandiser 404886 False dfa8fe6abd7df58f75cf6121b2b141f0 1993-06-24 03e72b4b2740ce2105cc21eb821b7ea7 Approved Credit 1993-06-24 la_v_1 7714\ Christopher\ Circles\ Apt.\ 889\ Cynthiaburgh\ \ VA\ 68994 Bachelor Media\ planner 564106 False c0b68ed755d010c065bee58477aca637 2021-03-28 feea0be2977318fd8a7bfb17fe66358f Approved Credit 2021-03-28 p_40332 p_42557 co_1223 pn_47939 2022-03-05 Kevin Thomas F 1929-10-14 Joseph White F 2004-03-21
la_v_5976 Unit\ 9914\ Box\ 6074\ DPO\ AE\ 10020 Master Pilot\ \ airline 336267 False 564d9d1c6e8a61a4fcda5fd58aa09208 2013-05-11 59de9659734d758140a9e5535584be46 Approved Credit 2013-05-11 la_v_2 USCGC\ Phelps\ FPO\ AP\ 87289 PhD Chiropodist 892349 False 750271de4a5d3d106b22405687acfdb1 1994-05-12 766bbdcaa43765145dcc05a6cdc34bda Approved Loan 1994-05-12 p_40332 p_95456 co_7250 pn_19609 2020-11-08 Kevin Thomas F 1929-10-14 Rebecca Nelson F 1989-04-26
la_v_5977 232\ Anthony\ Terrace\ Port\ Jared\ \ MD\ 43408 PhD Actuary 298939 False 660185f1e8951dac7b26b61812c19807 2013-03-20 69a845291649ea512657107767bbee46 Approved Loan 2013-03-20 la_v_3 71265\ Ronald\ Plains\ North\ Maryview\ \ AL\ 05037 PhD Arts\ development\ officer 411539 False d0073a8dc089cda4d46dc49ac052df12 1999-06-19 705bafec93b2009316cc9fd0269f4572 Approved Loan 1999-06-19 p_40333 p_74894 co_954 pn_64515 2021-12-20 Diana Wilson M 1984-11-13 Jennifer Stephens M 1917-04-11
la_v_5978 6209\ Robert\ Rapids\ Suite\ 564\ Austinfort\ \ OH\ 92586 PhD Intelligence\ analyst 400638 False 96543476955492fff5da12ebef377425 1993-04-20 cc70bc42b65f61f01fea7ab27de728fd Approved Loan 1993-04-20 la_v_4 6105\ Dakota\ Well\ East\ Mauricehaven\ \ MS\ 53989 Master Theme\ park\ manager 989839 False e2eefa33c4fe57058285b810eccda5de 1997-03-21 70ee555216d28803d98fd231b61a01d8 Approved Loan 1997-03-21 p_40337 p_84227 co_60 pn_80992 2021-06-23 Scott Long M 1945-02-17 Colleen Brennan M 1980-03-23
loan_application_id_1 address_1 degree_1 occupation_1 salary_1 is_risky_1 risk_profile_1 apply_agent_id_1 apply_date_1 application_uuid_1 approval_status_1 application_type_1 rejection_reason_1 applied_for_loan_start_time_1 loan_application_id_0 address_0 degree_0 occupation_0 salary_0 is_risky_0 risk_profile_0 apply_agent_id_0 apply_date_0 application_uuid_0 approval_status_0 application_type_0 rejection_reason_0 applied_for_loan_start_time_0 applicant_id_0 applicant_id_1 corp_id src_work_for_start_time dst_work_for_start_time name_0 gender_0 birthday_0 name_1 gender_1 birthday_1
la_e_11949 1154\ Tate\ Islands\ Apt.\ 694\ East\ Jose\ \ CO\ 44294 Master Public\ relations\ account\ executive 506292 False 0f339ae16f94aae6da0c5bc791c737dd 2004-10-21 11ef253aca17448192e8de0c3d760466 Approved Loan 2004-10-21 la_e_1 08415\ Thomas\ Fall\ Suite\ 748\ North\ Steven\ \ TN\ 96507 PhD Engineer\ \ mining 399208 False 1afba71585831d00ef872ce78063a095 2007-11-24 ed787474761f5a8a576dd5cb161ec26c Approved Credit 2007-11-24 p_29530 p_79880 co_10 2022-04-17 2021-01-21 Leslie Torres F 2008-05-13 Vanessa Vasquez F 1997-09-15
la_e_11950 PSC\ 8004\ \ Box\ 2654\ APO\ AE\ 21796 PhD Land 448138 False 4bf4bcdc0a856b03b68503d9cb7f5442 1998-11-21 c81cdee1a7a115cd01eb6f5f9362fb22 Approved Loan 1998-11-21 la_e_2 207\ Emily\ Points\ Suite\ 672\ Wilsonland\ \ NY\ 08530 Master Production\ assistant\ \ television 374687 False 53101a2d38304a0d7b50731b5fd281f5 1999-04-14 a255eb0dc8df0d3431b2b510c33a39b7 Approved Loan 1999-04-14 p_29531 p_68456 co_1138 2019-07-20 2020-01-03 Mercedes Curry F 1989-08-05 Patricia Perry F 1909-10-04
la_e_11951 45980\ Foster\ Forge\ Bobbyburgh\ \ TN\ 14269 Bachelor Conservator\ \ furniture 518225 False de3e3ec272255f352fbf1371db8d62b8 2006-01-08 f650b035aa2edab45a1d1831e14b0072 Approved Credit 2006-01-08 la_e_3 392\ Hunter\ Ferry\ Bryanttown\ \ VT\ 75828 Master Civil\ Service\ fast\ streamer 987525 False 3a8585dd2431c771ac6952512dfb610c 2019-03-14 1cccbbdf48b99dbf0bf482c9cf701048 Approved Credit 2019-03-14 p_29531 p_87877 co_886 2021-12-10 2020-10-18 Mercedes Curry F 1989-08-05 Bruce Foster F 1990-11-13
la_e_11952 20687\ Pineda\ Mount\ Suite\ 993\ Margaretport\ \ MO\ 58875 PhD Fashion\ designer 365690 False 5666443e4430aa4b602e5b80d75f607b 2020-02-01 75ec0b7498e49ebe6697007f8ba21cb6 Approved Credit 2020-02-01 la_e_4 22445\ Myers\ Flat\ Suite\ 617\ South\ Timothyland\ \ OK\ 01285 Bachelor Musician 641427 False bc64248bb5d2680a1c9114614ba33078 2000-03-10 7c47fc5d215d63ace80037f4f78ec092 Approved Loan 2000-03-10 p_29532 p_51537 co_7442 2020-11-24 2020-07-17 Shawn Lawrence M 1991-07-20 Fernando Smith F 2012-11-13
person_id contact_id level
p_46617 p_95395 0
p_46619 p_75593 56
p_46619 p_89341 38
p_46620 p_76157 38
phone_number_id phone_number
pn_1 (724)681-7804x1810
pn_2 001-870-792-7551x33639
pn_3 (133)391-8959
pn_4 352-954-1791
loan_application_id_1 address_1 degree_1 occupation_1 salary_1 is_risky_1 risk_profile_1 apply_agent_id_1 apply_date_1 application_uuid_1 approval_status_1 application_type_1 rejection_reason_1 applied_for_loan_start_time_1 loan_application_id_0 address_0 degree_0 occupation_0 salary_0 is_risky_0 risk_profile_0 apply_agent_id_0 apply_date_0 application_uuid_0 approval_status_0 application_type_0 rejection_reason_0 applied_for_loan_start_time_0 applicant_id_0 applicant_id_1 d_id src_device_start_time dst_device_start_time name_0 gender_0 birthday_0 name_1 gender_1 birthday_1
la_d_53767 49138\ Kathleen\ Track\ South\ Brent\ \ IN\ 95389 PhD Radiographer\ \ diagnostic 404374 False f0ce91d396e5ec060a2b9fbe2634be91 2010-02-24 fef192f09f5f3177a9292edc07a469ac Approved Credit 2010-02-24 la_d_1 9873\ Edward\ Forest\ Apt.\ 411\ Julietown\ \ SC\ 55796 PhD Surveyor\ \ insurance 121908 False a6026184108db717704d13bfbd1e3544 2004-05-09 599bfe1d13b6682cc0fb01cf8fcb7ddc Approved Credit 2004-05-09 p_6316 p_15886 dev_1 2022-03-19 2020-01-17 Heidi Calderon F 1934-05-19 Dr. Patrick Campbell DDS M 1977-10-26
la_d_74272 404\ Gonzalez\ Prairie\ Jonathanfort\ \ CT\ 40534 Bachelor Interior\ and\ spatial\ designer 207021 False 8b7d23f764a2ee649c3ae0eab15a132d 1994-02-16 2bed1dd53ea90ff8834f7af83b99d68d Approved Credit 1994-02-16 la_d_20506 44310\ James\ Fork\ Benitezfurt\ \ WI\ 17012 Bachelor Fine\ artist 666577 False b4d45413846d3ce5924fe0a0ba990e27 2008-01-13 dafa46124b5ef2a2f1e2ce1af9081812 Rejected Loan Happen government determine again score. 2008-01-13 p_13545 p_15886 dev_2 2022-01-11 2022-06-24 Jeffrey Smith F 2009-10-04 Dr. Patrick Campbell DDS M 1977-10-26
la_d_53768 72859\ Laura\ Track\ Port\ Lesliestad\ \ KY\ 24749 Master Chief\ Financial\ Officer 944423 False c28b94691de407ea4dcdad770a1887c0 2001-12-23 5a45c542729fcff9620b41436010fec2 Approved Loan 2001-12-23 la_d_2 0191\ Christina\ Dam\ Apt.\ 120\ Port\ Jessica\ \ DC\ 40896 Bachelor Contractor 211055 False 944ce0445e5b3dd6eaf0df22800fa13c 2009-10-31 e120471bc99a5d3be82b209376bed561 Approved Loan 2009-10-31 p_6316 p_63662 dev_4 2022-04-06 2021-01-16 Heidi Calderon F 1934-05-19 Christina Benson F 1938-05-20
la_d_53769 244\ Edward\ Well\ Lake\ Kenneth\ \ AL\ 31168 PhD Recruitment\ consultant 795936 False 33c7a4bddfa52c005b0c4518debeb31e 2000-11-15 07564690d9283410ab1289ec3e2c33a6 Approved Loan 2000-11-15 la_d_3 885\ Michael\ Street\ Port\ Angela\ \ NH\ 79737 PhD Lawyer 282486 False 164880d4f5411d3979e125fc6b2fc2b5 1995-01-27 2a2e0c62173ef557a9e1d0bd0edd90d5 Approved Credit 1995-01-27 p_6316 p_97300 dev_63 2019-12-22 2019-08-17 Heidi Calderon F 1934-05-19 Danielle Huber M 1928-08-11
src_id dst_id d_id src_device_start_time dst_device_start_time
p_6316 p_15886 dev_1 2022-03-19 2020-01-17
p_6316 p_63662 dev_4 2022-04-06 2021-01-16
p_6316 p_97300 dev_63 2019-12-22 2019-08-17
p_6317 p_22201 dev_71620 2020-03-06 2022-02-08
src_id dst_id corp_id src_work_for_start_time dst_work_for_start_time
p_29530 p_79880 co_10 2022-04-17 2021-01-21
p_29531 p_68456 co_1138 2019-07-20 2020-01-03
p_29531 p_87877 co_886 2021-12-10 2020-10-18
p_29532 p_51537 co_7442 2020-11-24 2020-07-17
src_id dst_id corp_id pn_id src_work_for_start_time
p_40332 p_42557 co_1223 pn_47939 2022-03-05
p_40332 p_95456 co_7250 pn_19609 2020-11-08
p_40333 p_74894 co_954 pn_64515 2021-12-20
p_40337 p_84227 co_60 pn_80992 2021-06-23
person_id name gender birthday
p_1 Miranda Miller M 1957-08-27
p_2 Holly Pollard F 1910-10-19
p_3 Julia Hall F 1927-08-24
p_4 Franklin Barnett M 2020-03-01
loan_application_id address degree occupation salary is_risky risk_profile apply_agent_id apply_date application_uuid approval_status application_type rejection_reason applied_for_loan_start_time applicant_id contact_id level name gender birthday
la_r_1 4674\ Kristen\ Rapid\ West\ Kimberly\ \ MT\ 61282 Master Psychologist\ \ sport\ and\ exercise 877249 False 04abdecc218042f12504141d3462339f 2010-05-30 0900c09324181fb841bb578088b8bf5c Approved Credit 2010-05-30 p_46617 p_95395 0 Kimberly Carr M 1973-01-17
la_r_2 58396\ Jeffrey\ Mountain\ Cruzfurt\ \ MN\ 71496 Bachelor Records\ manager 791868 False a0f297cc246f43658ed9c319c3ffecd9 2020-07-28 d8b9461921087359682762d4fb32333b Approved Loan 2020-07-28 p_46619 p_75593 56 Susan Daugherty F 1974-01-27
la_r_3 37430\ Cody\ Neck\ South\ Shannon\ \ OH\ 35235 Bachelor Advertising\ art\ director 71480 True Environmental because business man usually. 5b0dd380214d22ceffcf9bcb2b4d39b5 1993-07-15 b2d84796981c896cf9ecded3f4e69163 Approved Credit 1993-07-15 p_46619 p_89341 38 Susan Daugherty F 1974-01-27
la_r_4 150\ Jennifer\ Squares\ North\ Jessica\ \ ID\ 13048 Master Police\ officer 446128 False ad600fc55630941de6e8e1af34d59659 1996-10-07 7161436814d7f1b131935d7558c0a16b Approved Loan 1996-10-07 p_46620 p_76157 38 Karen Clark M 2005-05-24
src_id dst_id pn_id
p_1 p_3009 pn_51760
p_1 p_14645 pn_38475
p_1 p_19932 pn_10
p_1 p_96908 pn_37140
device_id device_name
dev_1 53ba6518d709c99a37267a308c7779e6
dev_2 1ec4dd7f74e805d8c7c8afaba445d169
dev_3 ba39c9ae6c19d2c004e00f4eb0293959
dev_4 fe5c70bf84434e89cfac9ec498ce9277

Download

Browse Files

Download Gephi Lite File

Gephi Lite is an OSS tool for Graph Visualization and In Canvas Graph Exploration and Computational Analysis.

Download this sample Gephi Lite file to visualize the sampled graph data from here.

💡: You can generate gephi file from any graph query with NebulaGraph-Gephi.

Install the Jupyter-NebulaGraph extension, refer to the documentation for more information.

!pip install jupyter-nebulagraph
%load_ext ngql
%ngql --address 127.0.0.1 --port 9669 --user root --password nebula

Create Graph Space and Schema.

%ngql CREATE SPACE fraud_detection(partition_num=1, replica_factor=1, vid_type=fixed_string(128));
# wait for a while
%ngql USE fraud_detection;

# DDL with `%%ngql` magic for multi-line execution
%%ngql
CREATE TAG corp (corp_name string, phone_num string, is_risky string, risk_comment string);
CREATE TAG application (apply_agent_id string, apply_date date, application_uuid string, approval_status string, application_type string, rejection_reason string);
CREATE TAG phone_num (phone_num string);
CREATE TAG device (device_id string);
CREATE TAG person (name string);
CREATE TAG applicant (name string, gender string, birth date, addr string, degree string, occupation string, year_salary string, is_risky string, risk_comment string);

CREATE EDGE applied_for_loan (start_time date); 
CREATE EDGE with_phone_num (start_time date);
CREATE EDGE is_related_to (start_time date, level int);
CREATE EDGE worked_for (start_time date);
CREATE EDGE used_device (start_time date);

Refer to jupyter-nebulagraph for more information.

%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/corporation.csv --tag corp --vid 0 --props 1:corp_name,3:is_risky,4:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_is_related_to.csv --tag application --vid 0 --props 7:apply_agent_id,8:apply_date,9:application_uuid,10:approval_status,11:application_type,12:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/phone_number.csv --tag phone_num --vid 0 --props 1:phone_num --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/device.csv --tag device --vid 0 --props 1:device_id --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/person.csv --tag person --vid 0 --props 1:name --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_is_related_to.csv --tag applicant --vid 14 --props 17:name,18:gender,19:birth,1:addr,2:degree,3:occupation,4:year_salary,5:is_risky,6:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_is_related_to.csv --edge applied_for_loan --src 14 --dst 0 --props 8:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_phone_num.csv --edge with_phone_num --src 28 --dst 30 --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_phone_num.csv --edge with_phone_num --src 29 --dst 30 --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_is_related_to.csv --edge is_related_to --src 14 --dst 15 --props 16:level --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_employer.csv --edge worked_for --src 28 --dst 30 --props 31:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_employer.csv --edge worked_for --src 29 --dst 30 --props 31:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_device.csv --edge used_device --src 28 --dst 30 --props 31:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_device.csv --edge used_device --src 29 --dst 30 --props 32:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/shared_phone_num_relationship.csv --edge with_phone_num --src 1 --dst 2 --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/shared_via_employer_phone_num_relationship.csv --edge with_phone_num --src 1 --dst 3 --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/shared_via_employer_phone_num_relationship.csv --edge with_phone_num --src 2 --dst 3 --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --edge worked_for --src 28 --dst 30 --props 32:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --edge with_phone_num --src 29 --dst 31 --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --edge with_phone_num --src 30 --dst 31 --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_device.csv --tag application --vid 0 --props 7:apply_agent_id,8:apply_date,9:application_uuid,10:approval_status,11:application_type,12:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_employer.csv --tag application --vid 0 --props 7:apply_agent_id,8:apply_date,9:application_uuid,10:approval_status,11:application_type,12:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_phone_num.csv --tag application --vid 0 --props 7:apply_agent_id,8:apply_date,9:application_uuid,10:approval_status,11:application_type,12:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --tag application --vid 0 --props 7:apply_agent_id,8:apply_date,9:application_uuid,10:approval_status,11:application_type,12:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_device.csv --tag application --vid 14 --props 21:apply_agent_id,22:apply_date,23:application_uuid,24:approval_status,25:application_type,26:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_employer.csv --tag application --vid 14 --props 21:apply_agent_id,22:apply_date,23:application_uuid,24:approval_status,25:application_type,26:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_phone_num.csv --tag application --vid 14 --props 21:apply_agent_id,22:apply_date,23:application_uuid,24:approval_status,25:application_type,26:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --tag application --vid 14 --props 21:apply_agent_id,22:apply_date,23:application_uuid,24:approval_status,25:application_type,26:rejection_reason --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_device.csv --tag applicant --vid 28 --props 33:name,34:gender,35:birth,1:addr,2:degree,3:occupation,4:year_salary,5:is_risky,6:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_employer.csv --tag applicant --vid 28 --props 33:name,34:gender,35:birth,1:addr,2:degree,3:occupation,4:year_salary,5:is_risky,6:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --tag applicant --vid 28 --props 33:name,34:gender,35:birth,1:addr,2:degree,3:occupation,4:year_salary,5:is_risky,6:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_phone_num.csv --tag applicant --vid 28 --props 31:name,32:gender,33:birth,1:addr,2:degree,3:occupation,4:year_salary,5:is_risky,6:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_device.csv --tag applicant --vid 29 --props 36:name,37:gender,38:birth,15:addr,16:degree,17:occupation,18:year_salary,19:is_risky,20:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_employer.csv --tag applicant --vid 29 --props 36:name,37:gender,38:birth,15:addr,16:degree,17:occupation,18:year_salary,19:is_risky,20:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --tag applicant --vid 29 --props 36:name,37:gender,38:birth,15:addr,16:degree,17:occupation,18:year_salary,19:is_risky,20:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_phone_num.csv --tag applicant --vid 29 --props 34:name,35:gender,36:birth,15:addr,16:degree,17:occupation,18:year_salary,19:is_risky,20:risk_comment --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_device.csv --edge applied_for_loan --src 28 --dst 0 --props 8:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_employer.csv --edge applied_for_loan --src 28 --dst 0 --props 8:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_phone_num.csv --edge applied_for_loan --src 28 --dst 0 --props 8:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --edge applied_for_loan --src 28 --dst 0 --props 8:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_device.csv --edge applied_for_loan --src 29 --dst 14 --props 22:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_employer.csv --edge applied_for_loan --src 29 --dst 14 --props 22:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_phone_num.csv --edge applied_for_loan --src 29 --dst 14 --props 22:start_time --space fraud_detection
%ng_load --header --source https://github.com/wey-gu/awesome-graph-dataset/raw/main/datasets/fraud_detection/small/applicant_application_with_shared_via_employer_phone_num.csv --edge applied_for_loan --src 29 --dst 14 --props 22:start_time --space fraud_detection

The Nebula Importer is a tool for importing data from various data sources into NebulaGraph.

We provide a configuration file for the Nebula Importer(version: v3) to import the dataset.

Reference call command, assuming the configuration file is named importer.yaml in your current directory:

# get the configuration file
# modify the configuration file according to your environment

# ls -l ./data/fraud_detection/

# ls -l importer.yaml

# run the importer
docker run --rm -ti \
    -v ${PWD}/data/fraud_detection/:/data \
    -v ${PWD}/importer.yaml:/root/importer_v3_config.yaml \
    vesoft/nebula-importer:v3 \
    -c /root/importer_v3_config.yaml