14 citations · 19 across the 21 of their papers we have counts for
4 papers · 1 filter
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation
Zhen Tao, Yuehang Cao, Yang Fang +3
Dynamic recommendation, focusing on modeling user preference from historical interactions and providing recommendations on current time, plays a key role in many personalized servi…
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection
Yunhui Liu, Jiashun Cheng, Yiqing Lin +7
Graph anomaly detection (GAD) has garnered increasing attention in recent years, yet remains challenging due to two key factors: (1) label scarcity stemming from the high cost of a…
Norm Augmented Graph AutoEncoders for Link Prediction
Yunhui Liu, Huaisong Zhang, Xinyi Gao +3
Link Prediction (LP) is a crucial problem in graph-structured data. Graph Neural Networks (GNNs) have gained prominence in LP, with Graph AutoEncoders (GAEs) being a notable repres…
Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation
Yunhui Liu, Zhen Tao, Xiang Zhao +3
Multiplex graphs, with multiple edge types (graph views) among common nodes, provide richer structural semantics and better modeling capabilities. Multiplex Graph Neural Networks (…