41 citations · 74 across the 4 of their papers we have counts for
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cs.LG2026
ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models
Zhongjian Zhang, Xiao Wang, Busheng Zhang +5
Zero-shot graph models (ZGMs), which learn transferable knowledge from source graphs and directly apply to unseen target graphs without any adaptation, have achieved promising perf…
cs.LG2023★ 41 cited
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
Bo Yan, Yang Cao, Haoyu Wang +3
The heterogeneous information network (HIN), which contains rich semantics depicted by meta-paths, has emerged as a potent tool for mitigating data sparsity in recommender systems.…
cs.LG2023★ 2 cited
Abnormal Event Detection via Hypergraph Contrastive Learning
Bo Yan, Cheng Yang, Chuan Shi +2
Abnormal event detection, which refers to mining unusual interactions among involved entities, plays an important role in many real applications. Previous works mostly over-simplif…