Yue Liu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 33

Top Topics

Hyperspectral Images

Int J Imaging Syst Technol

Supervised Learning

Graph Clustering

Top Venues

Publications

Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-supervised Node Classification. IEEE Trans. Knowl. Data Eng. 18 (7) (2024)
Ke Liang, Yue Liu, Sihang Zhou, Wenxuan Tu, Yi Wen, Xihong Yang, Xiangjun Dong, Xinwang Liu
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics. CoRR (2024)
Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. AAAI (2024)
Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. AAAI (2024)
Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI (2024)
Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu
Mixed Graph Contrastive Network for Semi-supervised Node Classification. ACM Trans. Knowl. Discov. Data 18 (7) (2024)
Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li
DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE (2024)
Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
Deep Temporal Graph Clustering. ICLR (2024)
Renxiang Guan, Zihao Li, Wenxuan Tu, Jun Wang, Yue Liu, Xianju Li, Chang Tang, Ruyi Feng
Contrastive Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
Dink-Net: Neural Clustering on Large Graphs. ICML (2023)
Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. CoRR (2023)
Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. CoRR (2023)
Xihong Yang, Jin Jiaqi, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. ACM Multimedia (2023)
Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR (2023)
Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia (2023)
Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View. AAAI (2023)
Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia (2023)
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. SIGIR (2023)
Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu
Deep Temporal Graph Clustering. CoRR (2023)
Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
Reinforcement Graph Clustering with Unknown Cluster Number. CoRR (2023)
Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS (2023)
Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu
Message Intercommunication for Inductive Relation Reasoning. CoRR (2023)
Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. CoRR (2023)
Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. CoRR (2023)
Xihong Yang, Jiaqi Jin, Siwei Wang, Ke Liang, Yue Liu, Yi Wen, Suyuan Liu, Sihang Zhou, Xinwang Liu, En Zhu
DealMVC: Dual Contrastive Calibration for Multi-view Clustering. CoRR (2023)
Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. ACM Multimedia (2023)
Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR (2023)
Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
Hard Sample Aware Network for Contrastive Deep Graph Clustering. AAAI (2023)
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun
Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. CoRR (2022)
Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
Deep Graph Clustering via Dual Correlation Reduction. AAAI (2022)
Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng
Initializing Then Refining: A Simple Graph Attribute Imputation Network. IJCAI (2022)
Ke Liang, Yue Liu, Sihang Zhou, Xinwang Liu, Wenxuan Tu
Relational Symmetry based Knowledge Graph Contrastive Learning. CoRR (2022)