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Nian Liu
标题
引用次数
引用次数
年份
Self-supervised heterogeneous graph neural network with co-contrastive learning
X Wang, N Liu, H Han, C Shi
KDD 2021, 1726-1736, 2021
2922021
Lorentzian graph convolutional networks
Y Zhang, X Wang, C Shi, N Liu, G Song
TheWebConf 2021, 1249-1261, 2021
752021
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
N Liu, X Wang, D Bo, C Shi, J Pei
NeurIPS 2022, 2022
402022
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
332022
Compact Graph Structure Learning via Mutual Information Compression
N Liu, X Wang, L Wu, Y Chen, X Guo, C Shi
TheWebConf 2022, 2022
302022
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
Provable Training for Graph Contrastive Learning
Y Yu, X Wang, M Zhang, N Liu, C Shi
NeurIPS 2023, 2023
42023
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
32024
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
Y Sui, Y He, N Liu, X He, K Wang, B Hooi
arXiv preprint arXiv:2405.13873, 2024
2024
Advancing Graph Convolutional Networks via General Spectral Wavelets
N Liu, X He, T Laurent, F Di Giovanni, MM Bronstein, X Bresson
arXiv preprint arXiv:2405.13806, 2024
2024
Learning Social Graph for Inactive User Recommendation
N Liu, S Fan, T Bai, P Wang, M Sun, Y Mo, X Xu, H Liu, C Shi
DASFAA 2024, 2024
2024
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