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06/14/2023
Uncertainty-Aware Robust Learning on Noisy Graphs
Graph neural networks have shown impressive capabilities in solving vari...
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05/18/2023
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection
Graph anomaly detection has long been an important problem in various do...
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05/17/2023
Characterizing Long-Tail Categories on Graphs
Long-tail data distributions are prevalent in many real-world networks, ...
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12/28/2021
Session-based Recommendation with Hypergraph Attention Networks
Session-based recommender systems aim to improve recommendations in shor...
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07/13/2021
Sequential Recommendation for Cold-start Users with Meta Transitional Learning
A fundamental challenge for sequential recommenders is to capture the se...
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04/26/2021
Graph Neural Networks with Adaptive Frequency Response Filter
Graph Neural Networks have recently become a prevailing paradigm for var...
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08/19/2019
