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5 papers · 2 filters
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
Jie Yang, Rui Zhang, Ziyang Cheng +3
Nowadays, Graph Fraud Detection (GFD) in financial scenarios has become an urgent research topic to protect online payment security. However, as organized crime groups are becoming…
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
Xu Cheng, Liang Yao, Feng He +6
Graph Neural Networks (GNNs) have emerged as powerful tools for various graph mining tasks, yet existing scalable solutions often struggle to balance execution efficiency with pred…
How to Use Graph Data in the Wild to Help Graph Anomaly Detection?
Yuxuan Cao, Jiarong Xu, Chen Zhao +4
In recent years, graph anomaly detection has found extensive applications in various domains such as social, financial, and communication networks. However, anomalies in graph-stru…
Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting
Fuyuan Lyu, Linfeng Du, Yunpeng Weng +6
Fund allocation has been an increasingly important problem in the financial domain. In reality, we aim to allocate the funds to buy certain assets within a certain future period. N…
Divergence-Augmented Policy Optimization
Qing Wang, Yingru Li, Jiechao Xiong +1
In deep reinforcement learning, policy optimization methods need to deal with issues such as function approximation and the reuse of off-policy data. Standard policy gradient metho…