Network Representation Learning Algorithm Based on Neighborhood Influence Sequence. - Meng Liu 014; Ziwei Quan; Yong Liu 029 (ACML, 2020)

SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks. - Jiaming Wu; Meng Liu 014; Jiangting Fan; Yong Liu 029; Meng Han (ICANN (5), 2021)

Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. - Meng Liu 014; Yong Liu 029 (SIGIR, 2021)

Embedding Global and Local Influences for Dynamic Graphs. - Meng Liu 014; Jiaming Wu; Yong Liu 029 (CIKM, 2022)

Curriculum Contrastive Learning for Fake News Detection. - Jiachen Ma 003; Yong Liu 029; Meng Liu 014; Meng Han (CIKM, 2022)

A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction. - Wei Fan; Meng Liu 014; Yong Liu 029 (DASFAA (1), 2022)

Embedding temporal networks inductively via mining neighborhood and community influences. - Meng Liu 014; Ziwei Quan; Jia-Ming Wu; Yong Liu 029; Meng Han (Appl. Intell., 2022)

Reasoning over Different Types of Knowledge Graphs: Static, Temporal and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001 (CoRR, 2022)

TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification. - Meng Liu 014; Ke Liang 006; Dayu Hu; Hao Yu; Yue Liu 008; Lingyuan Meng; Wenxuan Tu; Sihang Zhou 001; Xinwang Liu 002 (ACM Multimedia, 2023)

Reinforcement Graph Clustering with Unknown Cluster Number. - Yue Liu 008; Ke Liang 006; Jun Xia 001; Xihong Yang; Sihang Zhou 001; Meng Liu 014; Xinwang Liu 002; Stan Z. Li (ACM Multimedia, 2023)

Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (SIGIR, 2023)

Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment. - Meng Liu 014; Ke Liang 006; Bin Xiao 001; Sihang Zhou 001; Wenxuan Tu; Yue Liu 008; Xihong Yang; Xinwang Liu 002 (CoRR, 2023)

SARF: Aliasing Relation Assisted Self-Supervised Learning for Few-shot Relation Reasoning. - Lingyuan Meng; Ke Liang 006; Bin Xiao 001; Sihang Zhou 001; Yue Liu 008; Meng Liu 014; Xihong Yang; Xinwang Liu 002 (CoRR, 2023)

Deep Temporal Graph Clustering. - Meng Liu 014; Yue Liu 008; Ke Liang 006; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (CoRR, 2023)

Message Intercommunication for Inductive Relation Reasoning. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Siwei Wang 001; Wenxuan Tu; Yue Liu 008; Meng Liu 014; Xinwang Liu 002 (CoRR, 2023)

arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering. - Meng Liu 014; Ke Liang 006; Yue Liu 008; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (CoRR, 2023)

G2uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering. - Hao Yu; Chuan Ma 001; Meng Liu 014; Xinwang Liu 002; Zhe Liu 001; Ming Ding 001 (CoRR, 2023)

Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning. - Ke Liang 006; Sihang Zhou 001; Yue Liu 008; Lingyuan Meng; Meng Liu 014; Xinwang Liu 002 (CoRR, 2023)

scDFC: A deep fusion clustering method for single-cell RNA-seq data. - Dayu Hu; Ke Liang 006; Sihang Zhou 001; Wenxuan Tu; Meng Liu 014; Xinwang Liu 002 (Briefings Bioinform., 2023)

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. - Ke Liang 006; Sihang Zhou 001; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Yi Zhang 104; Liming Fang 001; Zhe Liu 001; Xinwang Liu 002 (AAAI, 2024)

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. - Ke Liang 006; Lingyuan Meng; Sihang Zhou 001; Wenxuan Tu; Siwei Wang 001; Yue Liu 008; Meng Liu 014; Long Zhao 002; Xiangjun Dong 001; Xinwang Liu 002 (AAAI, 2024)

Deep Temporal Graph Clustering. - Meng Liu 014; Yue Liu 008; Ke Liang 006; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (ICLR, 2024)

Simple Yet Effective: Structure Guided Pre-trained Transformer for Multi-modal Knowledge Graph Reasoning. - Ke Liang 006; Lingyuan Meng; Yue Liu 008; Meng Liu 014; Wei Wei; Suyuan Liu; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002 (ACM Multimedia, 2024)

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal. - Ke Liang 006; Lingyuan Meng; Meng Liu 014; Yue Liu 008; Wenxuan Tu; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Fuchun Sun 001; Kunlun He (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

FedEAN: Entity-Aware Adversarial Negative Sampling for Federated Knowledge Graph Reasoning. - Lingyuan Meng; Ke Liang 006; Hao Yu; Yue Liu 008; Sihang Zhou 001; Meng Liu 014; Xinwang Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Enhanced then Progressive Fusion with View Graph for Multi-View Clustering. - Zhibin Dong; Meng Liu 014; Siwei Wang 001; Ke Liang 006; Yi Zhang 104; Suyuan Liu; Jiaqi Jin; Xinwang Liu 002; En Zhu (CVPR, 2025)

Rethinking multi-level information fusion in temporal graphs: Pre-training then distilling for better embedding. - Meng Liu 014; Yong Liu 029; Qianqian Ren; Meng Han (Inf. Fusion, 2025)

MGKsite: Multi-Modal Knowledge-Driven Site Selection via Intra and Inter-Modal Graph Fusion. - Ke Liang 006; Lingyuan Meng; Hao Li 025; Meng Liu 014; Siwei Wang 001; Sihang Zhou 001; Xinwang Liu 002; Kunlun He (IEEE Trans. Multim., 2025)

SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning. - Lingyuan Meng; Ke Liang 006; Bin Xiao 002; Sihang Zhou 001; Yue Liu 008; Meng Liu 014; Xihong Yang; Xinwang Liu 002; Jinyan Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment. - Meng Liu 014; Ke Liang 006; Yawei Zhao; Wenxuan Tu; Sihang Zhou 001; Xinbiao Gan; Xinwang Liu 002; Kunlun He (IEEE Trans. Neural Networks Learn. Syst., 2025)