Nian Liu

24 papers A* 8Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition.
ICML
Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
2025 — conf
FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering.
ACL (Findings)
Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi
2024 J jnl
Advancing Graph Convolutional Networks via General Spectral Wavelets.
CoRR
Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
2024 J jnl
Debiased Graph Neural Networks With Agnostic Label Selection Bias.
IEEE Trans. Neural Networks Learn. Syst.
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2024 J jnl
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering.
CoRR
Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi
2024 J jnl
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization.
CoRR
Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
2024 — conf
Learning Social Graph for Inactive User Recommendation.
DASFAA (6)
Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi
2024 J jnl
Learning Social Graph for Inactive User Recommendation.
CoRR
Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi
2024 A* conf
Uncovering the Redundancy in Graph Self-supervised Learning Models.
NeurIPS
Zhibiao Wang, Xiao Wang, Haoyue Deng, Nian Liu, Shirui Pan, Chunming Hu
2023 J jnl
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network.
CoRR
Nian Liu, Xiao Wang, Hui Han, Chuan Shi
2023 J jnl
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Nian Liu, Xiao Wang, Hui Han, Chuan Shi
2023 A* conf
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization.
NeurIPS
Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi
2023 A* conf
Provable Training for Graph Contrastive Learning.
NeurIPS
Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
2023 J jnl
Provable Training for Graph Contrastive Learning.
CoRR
Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi
2022 A* conf
Compact Graph Structure Learning via Mutual Information Compression.
WWW
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022 J jnl
Compact Graph Structure Learning via Mutual Information Compression.
CoRR
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
2022 J jnl
Debiased Graph Neural Networks with Agnostic Label Selection Bias.
CoRR
Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang
2022 J jnl
Embedding Heterogeneous Information Network in Hyperbolic Spaces.
ACM Trans. Knowl. Discov. Data
Yiding Zhang, Xiao Wang, Nian Liu, Chuan Shi
2022 A* conf
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.
NeurIPS
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
2022 J jnl
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.
CoRR
Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
2021 A* conf
Lorentzian Graph Convolutional Networks.
WWW
Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
2021 J jnl
Lorentzian Graph Convolutional Networks.
CoRR
Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song
2021 A* conf
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.
KDD
Xiao Wang, Nian Liu, Hui Han, Chuan Shi
2021 J jnl
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.
CoRR
Xiao Wang, Nian Liu, Hui Han, Chuan Shi