12 citations · 21 across the 4 of their papers we have counts for
4 papers
CRoC: Context Refactoring Contrast for Graph Anomaly Detection with Limited Supervision
Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau
Graph Neural Networks (GNNs) are widely used as the engine for various graph-related tasks, with their effectiveness in analyzing graph-structured data. However, training robust GN…
GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation
Siyue Xie, Yiming Li, Da Sun Handason Tam +5
In this paper, we propose the Graph Temporal Edge Aggregation (GTEA) framework for inductive learning on Temporal Interaction Graphs (TIGs). Different from previous works, GTEA mod…
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach
Da Sun Handason Tam, Wing Cheong Lau, Bin Hu +3
Rapid and massive adoption of mobile/ online payment services has brought new challenges to the service providers as well as regulators in safeguarding the proper uses such service…
Neural Entropic Estimation: A faster path to mutual information estimation
Chung Chan, Ali Al-Bashabsheh, Hing Pang Huang +3
We point out a limitation of the mutual information neural estimation (MINE) where the network fails to learn at the initial training phase, leading to slow convergence in the numb…