Nian Liu 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	490	490
h 指数	6	6
i10 指数	5	5

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Chuan ShiBeijing University of Posts and Telecommunications在 bupt.edu.cn 的电子邮件经过验证
Xiao WangProfessor, Beihang University在 buaa.edu.cn 的电子邮件经过验证
Guojie SongProfessor (Research), Tenured of Peking University在 pku.edu.cn 的电子邮件经过验证
Deyu BoPostdoc, NUS在 nus.edu.sg 的电子邮件经过验证
Jian PeiArthur S. Pearse Distinguished Professor, Duke University在 cs.sfu.ca 的电子邮件经过验证
Shaohua FanTsinghua, Postdoc在 tsinghua.edu.cn 的电子邮件经过验证
Kun KuangZhejiang University在 zju.edu.cn 的电子邮件经过验证
Yu (Hugo) Chen 陈宇Co-founder and Head of Machine Learning, Anytime AI在 anytime-ai.com 的电子邮件经过验证
Xiaojie GuoIBM TJ Watson Research Center在 gmu.edu 的电子邮件经过验证
Xiaoxin HePhD student, National University of Singapore在 u.nus.edu 的电子邮件经过验证
Thomas LaurentProfessor of Mathematics, Loyola Marymount University在 lmu.edu 的电子邮件经过验证
Francesco Di GiovanniSenior Research Associate, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
Michael BronsteinDeepMind Professor of AI, University of Oxford在 cs.ox.ac.uk 的电子邮件经过验证
Xavier BressonAssoc Prof of Computer Science, NUS & Distinguished Researcher at Element Inc在 nus.edu.sg 的电子邮件经过验证

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Nian Liu

National University of Singapore

在 comp.nus.edu.sg 的电子邮件经过验证 - 首页

graph neural network self-supervised learning contrastive learning


标题按引用次数排序按年份排序按标题排序	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	292	2021
Lorentzian graph convolutional networks Y Zhang, X Wang, C Shi, N Liu, G Song TheWebConf 2021, 1249-1261, 2021	75	2021
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum N Liu, X Wang, D Bo, C Shi, J Pei NeurIPS 2022, 2022	40	2022
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	33	2022
Compact Graph Structure Learning via Mutual Information Compression N Liu, X Wang, L Wu, Y Chen, X Guo, C Shi TheWebConf 2022, 2022	30	2022
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	9	2021
Provable Training for Graph Contrastive Learning Y Yu, X Wang, M Zhang, N Liu, C Shi NeurIPS 2023, 2023	4	2023
Hierarchical contrastive learning enhanced heterogeneous graph neural network N Liu, X Wang, H Han, C Shi IEEE Transactions on Knowledge and Data Engineering, 2023	4	2023
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	3	2024
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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