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Nian Liu
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Self-supervised heterogeneous graph neural network with co-contrastive learning
X Wang, N Liu, H Han, C Shi
KDD 2021, 1726-1736, 2021
2672021
Lorentzian graph convolutional networks
Y Zhang, X Wang, C Shi, N Liu, G Song
TheWebConf 2021, 1249-1261, 2021
692021
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
N Liu, X Wang, D Bo, C Shi, J Pei
NeurIPS 2022, 2022
352022
Debiased graph neural networks with agnostic label selection bias
S Fan, X Wang, C Shi, K Kuang, N Liu, B Wang
IEEE transactions on neural networks and learning systems, 2022
282022
Compact Graph Structure Learning via Mutual Information Compression
N Liu, X Wang, L Wu, Y Chen, X Guo, C Shi
TheWebConf 2022, 2022
272022
Embedding heterogeneous information network in hyperbolic spaces
Y Zhang, X Wang, N Liu, C Shi
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (2), 1-23, 2021
92021
Hierarchical contrastive learning enhanced heterogeneous graph neural network
N Liu, X Wang, H Han, C Shi
IEEE Transactions on Knowledge and Data Engineering, 2023
42023
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
D Xia, X Wang, N Liu, C Shi
Advances in Neural Information Processing Systems 36, 2024
22024
Provable Training for Graph Contrastive Learning
Y Yu, X Wang, M Zhang, N Liu, C Shi
NeurIPS 2023, 2023
22023
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