Jingchao Wang

According to our database, Jingchao Wang authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

Exploring multi-granularity contextual semantics for fully inductive knowledge graph completion.

Jingchao Wang, Weimin Li, Alex Munyole Luvembe, Xiao Yu, Xinyi Zhang, Fangyu Liu, Fangfang Liu, Hao Wang, Zhenhai Wang, Qun Jin

Expert Syst. Appl., 2025

Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection.

Yifan Feng, Weimin Li, Yue Wang, Jingchao Wang, Fangfang Liu, Zhongming Han

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Time-aware multi-behavior graph network model for complex group behavior prediction.

Xiao Yu, Weimin Li, Cai Zhang, Jingchao Wang, Yan Zhao, Fangfang Liu, Quanke Pan, Huazhong Liu, Jihong Ding, Dehua Chen

Inf. Process. Manag., March, 2024

Integrating heterogeneous structures and community semantics for unsupervised community detection in heterogeneous networks.

Yan Zhao, Weimin Li, Fangfang Liu, Jingchao Wang, Alex Munyole Luvembe

Expert Syst. Appl., March, 2024

Heterogeneous network influence maximization algorithm based on multi-scale propagation strength and repulsive force of propagation field.

Chang Guo, Weimin Li, Jingchao Wang, Xiao Yu, Xiao Liu, Alex Munyole Luvembe, Can Wang, Qun Jin

Knowl. Based Syst., 2024

Group Behavior Prediction and Evolution in Social Networks.

Jingchao Wang, Xinyi Zhang, Weimin Li, Xiao Yu, Fangfang Liu, Qun Jin

IEEE Intell. Syst., 2024

A Text-Enhanced Transformer Fusion Network for Multimodal Knowledge Graph Completion.

Jingchao Wang, Xiao Liu, Weimin Li, Fangfang Liu, Xing Wu, Qun Jin

IEEE Intell. Syst., 2024

ConeE: Global and local context-enhanced embedding for inductive knowledge graph completion.

Jingchao Wang, Weimin Li, Fangfang Liu, Zhenhai Wang, Alex Munyole Luvembe, Qun Jin, Quanke Pan, Fangyu Liu

Expert Syst. Appl., 2024

Multi-task joint learning network based on adaptive patch pruning for Alzheimer's disease diagnosis and clinical score prediction.

Fangyu Liu, Shizhong Yuan, Weimin Li, Qun Xu, Xing Wu, Ke Han, Jingchao Wang, Shang Miao

Biomed. Signal Process. Control., 2024

2023

Enabling inductive knowledge graph completion via structure-aware attention network.

Jingchao Wang, Weimin Li, Wei Liu, Can Wang, Qun Jin

Appl. Intell., November, 2023

Hic-KGQA: Improving multi-hop question answering over knowledge graph via hypergraph and inference chain.

Jingchao Wang, Weimin Li, Fangfang Liu, Bin Sheng, Wei Liu, Qun Jin

Knowl. Based Syst., October, 2023

Self-supervised-Enhanced Dual Hierarchical Graph Convolution Network for Social Recommendation.

Yixing Guo, Weimin Li, Jingchao Wang, Shaohua Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

MIFAS: Multi-source heterogeneous information fusion with adaptive importance sampling for link prediction.

Tingting Jiang, Hao Wang, Xiangfeng Luo, Shaorong Xie, Jingchao Wang

Expert Syst. J. Knowl. Eng., 2022

Path-aware Multi-hop Question Answering Over Knowledge Graph Embedding.

Jingchao Wang, Weimin Li, Yixing Guo, Xiaokang Zhou

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2020

Open-World Relationship Prediction.

Jingchao Wang, Xinzhi Wang, Xiangfeng Luo, Wei Qin

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020