Nian Liu

According to our database, Nian Liu authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering.

Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Debiased Graph Neural Networks With Agnostic Label Selection Bias.

Shaohua Fan, Xiao Wang, Chuan Shi, Kun Kuang, Nian Liu, Bai Wang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering.

Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi

CoRR, 2024

Advancing Graph Convolutional Networks via General Spectral Wavelets.

Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson

CoRR, 2024

Uncovering the Redundancy in Graph Self-supervised Learning Models.

Zhibiao Wang, Xiao Wang, Haoyue Deng, Nian Liu, Shirui Pan, Chunming Hu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Social Graph for Inactive User Recommendation.

Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network.

Nian Liu, Xiao Wang, Hui Han, Chuan Shi

IEEE Trans. Knowl. Data Eng., October, 2023

Provable Training for Graph Contrastive Learning.

Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Invariant Representations of Graph Neural Networks via Cluster Generalization.

Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Embedding Heterogeneous Information Network in Hyperbolic Spaces.

Yiding Zhang, Xiao Wang, Nian Liu, Chuan Shi

ACM Trans. Knowl. Discov. Data, 2022

Compact Graph Structure Learning via Mutual Information Compression.

Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.

Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Lorentzian Graph Convolutional Networks.

Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song

Proceedings of the WWW '21: The Web Conference 2021, 2021

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning.

Xiao Wang, Nian Liu, Hui Han, Chuan Shi

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021