Meng Liu

40 papers A* 10A 2C 1Journal 25Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets.
CoRR
Meng Liu, Ke Liang, Siwei Wang, Xingchen Hu, Sihang Zhou, Xinwang Liu
2026 J jnl
G
IEEE Trans. Inf. Forensics Secur.
Hao Yu, Chuan Ma, Meng Liu, Tianyu Du, Ming Ding, Tao Xiang, Shouling Ji, Xinwang Liu
2026 J jnl
SKIP: A Prototype-Based Scalable Knowledge Graph Representation Learning Method.
IEEE Trans. Neural Networks Learn. Syst.
Yue Liu, Ke Liang, Jun Xia, Meng Liu, Xihong Yang, Xinwang Liu, Sihang Zhou, Stan Z. Li
2025 J jnl
Address Anomalies at Critical Crossroads for Graph Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Junyi Yan, Enguang Zuo, Ke Liang, Meng Liu, Miaomiao Li, Xinwang Liu, Xiaoyi Lv, Kai Lu
2025 J jnl
Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets.
IEEE Trans. Pattern Anal. Mach. Intell.
Meng Liu, Ke Liang, Siwei Wang, Xingchen Hu, Sihang Zhou, Xinwang Liu
2025 A* conf
Enhanced then Progressive Fusion with View Graph for Multi-View Clustering.
CVPR
Zhibin Dong, Meng Liu, Siwei Wang, Ke Liang, Yi Zhang, Suyuan Liu, Jiaqi Jin, Xinwang Liu, En Zhu
2025 J jnl
MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion.
IEEE Trans. Multim.
Ke Liang, Lingyuan Meng, Hao Li, Meng Liu, Siwei Wang, Sihang Zhou, Xinwang Liu, Kunlun He
2025 J jnl
Multiview Temporal Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Meng Liu, Ke Liang, Hao Yu, Lingyuan Meng, Siwei Wang, Sihang Zhou, Xinwang Liu
2025 A* conf
On the Adversarial Robustness of Multi-Kernel Clustering.
ICML
Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu
2025 J jnl
Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding.
Inf. Fusion
Meng Liu, Yong Liu, Qianqian Ren, Meng Han
2025 J jnl
SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning.
IEEE Trans. Neural Networks Learn. Syst.
Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu, Jinyan Li
2025 J jnl
Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou, Xinbiao Gan, Xinwang Liu, Kunlun He
2024 J jnl
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal.
IEEE Trans. Pattern Anal. Mach. Intell.
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun, Kunlun He
2024 A* conf
Deep Temporal Graph Clustering.
ICLR
Meng Liu, Yue Liu, Ke Liang, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
2024 J jnl
FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng.
Lingyuan Meng, Ke Liang, Hao Yu, Yue Liu, Sihang Zhou, Meng Liu, Xinwang Liu
2024 A* conf
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations.
AAAI
Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu
2024 A* conf
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs.
AAAI
Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu
2024 A* conf
Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning.
ACM Multimedia
Ke Liang, Lingyuan Meng, Yue Liu, Meng Liu, Wei Wei, Suyuan Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
2023 J jnl
Deep Temporal Graph Clustering.
CoRR
Meng Liu, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Xinwang Liu
2023 J jnl
G
CoRR
Hao Yu, Chuan Ma, Meng Liu, Xinwang Liu, Zhe Liu, Ming Ding
2023 A* conf
Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning.
SIGIR
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu
2023 J jnl
Message Intercommunication for Inductive Relation Reasoning.
CoRR
Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, Xinwang Liu
2023 A* conf
Reinforcement Graph Clustering with Unknown Cluster Number.
ACM Multimedia
Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
2023 J jnl
Reinforcement Graph Clustering with Unknown Cluster Number.
CoRR
Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
2023 J jnl
SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning.
CoRR
Lingyuan Meng, Ke Liang, Bin Xiao, Sihang Zhou, Yue Liu, Meng Liu, Xihong Yang, Xinwang Liu
2023 J jnl
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment.
CoRR
Meng Liu, Ke Liang, Bin Xiao, Sihang Zhou, Wenxuan Tu, Yue Liu, Xihong Yang, Xinwang Liu
2023 J jnl
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning.
CoRR
Ke Liang, Sihang Zhou, Yue Liu, Lingyuan Meng, Meng Liu, Xinwang Liu
2023 A* conf
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification.
ACM Multimedia
Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu
2023 J jnl
TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification.
CoRR
Meng Liu, Ke Liang, Dayu Hu, Hao Yu, Yue Liu, Lingyuan Meng, Wenxuan Tu, Sihang Zhou, Xinwang Liu
2023 J jnl
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering.
CoRR
Meng Liu, Ke Liang, Yue Liu, Siwei Wang, Sihang Zhou, Xinwang Liu
2023 J jnl
scDFC: A deep fusion clustering method for single-cell RNA-seq data.
Briefings Bioinform.
Dayu Hu, Ke Liang, Sihang Zhou, Wenxuan Tu, Meng Liu, Xinwang Liu
2022 — conf
A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction.
DASFAA (1)
Wei Fan, Meng Liu, Yong Liu
2022 A conf
Curriculum Contrastive Learning for Fake News Detection.
CIKM
Jiachen Ma, Yong Liu, Meng Liu, Meng Han
2022 A conf
Embedding Global and Local Influences for Dynamic Graphs.
CIKM
Meng Liu, Jiaming Wu, Yong Liu
2022 J jnl
Embedding temporal networks inductively via mining neighborhood and community influences.
Appl. Intell.
Meng Liu, Ziwei Quan, Jia-Ming Wu, Yong Liu, Meng Han
2022 J jnl
Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal.
CoRR
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun
2021 A* conf
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences.
SIGIR
Meng Liu, Yong Liu
2021 J jnl
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences.
CoRR
Meng Liu, Yong Liu
2021 — conf
SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks.
ICANN (5)
Jiaming Wu, Meng Liu, Jiangting Fan, Yong Liu, Meng Han
2020 C conf
Network Representation Learning Algorithm Based on Neighborhood Influence Sequence.
ACML
Meng Liu, Ziwei Quan, Yong Liu