Author of the publication

IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection.

, , , , , and . ICSOC, volume 13740 of Lecture Notes in Computer Science, page 616-631. Springer, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Where have you been: Dual spatiotemporal-aware user mobility modeling for missing check-in POI identification., , , , , and . Inf. Process. Manag., 59 (5): 103030 (2022)Cross-Regional Friendship Inference via Category-Aware Multi-Bipartite Graph Embedding., , , , , and . LCN, page 73-80. IEEE, (2022)Who is your friend: inferring cross-regional friendship from mobility profiles., , , , , , and . Multim. Tools Appl., 82 (8): 12719-12737 (March 2023)Learning Dynamic Behavior Patterns for Fraud Detection., , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 621-627. IEEE, (2022)Collaborative Fraud Detection: How Collaboration Impacts Fraud Detection., , , , , , , , and . ACM Multimedia, page 8891-8899. ACM, (2023)Don't Ignore Alienation and Marginalization: Correlating Fraud Detection., , , , , , , and . IJCAI, page 4959-4966. ijcai.org, (2023)Multi-network Embedding for Missing Point-of-Interest Identification., , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 1386-1393. IEEE, (2021)A Bi-directional Category-Aware Multi-task Learning Framework for Missing Check-in POI Identification., , , , , and . ICSOC, volume 13740 of Lecture Notes in Computer Science, page 584-599. Springer, (2022)IDGL: An Imbalanced Disassortative Graph Learning Framework for Fraud Detection., , , , , and . ICSOC, volume 13740 of Lecture Notes in Computer Science, page 616-631. Springer, (2022)Research on Fusion Navigation Method of Electrolytic Aluminum Sample Transfer Robot., , , and . CRC, page 27-31. IEEE, (2023)