Tao Wang

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
An edge enhancement graph neural network model with node discrimination for knowledge graph representation learning.
Complex Intell. Syst.
Tao Wang, Bo Shen
2025 J jnl
OTMKGRL: a universal multimodal knowledge graph representation learning framework using optimal transport and cross-modal relation.
Appl. Intell.
Tao Wang, Bo Shen
2024 J jnl
A semantic guide-based embedding method for knowledge graph completion.
Expert Syst. J. Knowl. Eng.
Jinglin Zhang, Bo Shen, Tao Wang, Yu Zhong
2024 J jnl
Advancing document-level relation extraction with a syntax-enhanced multi-hop reasoning network.
J. Intell. Fuzzy Syst.
Yu Zhong, Bo Shen, Tao Wang
2024 J jnl
Deconstructing reasoning paths and attending to semantic guidance for document-level relation extraction.
Knowl. Based Syst.
Yu Zhong, Bo Shen, Tao Wang
2024 J jnl
Interaction and Fusion of Rich Textual Information Network for Document-level Relation Extraction.
J. Univers. Comput. Sci.
Yu Zhong, Bo Shen, Tao Wang, Jinglin Zhang, Yun Liu
2024 J jnl
Knowledge Graph Embedding via Triplet Component Interactions.
Neural Process. Lett.
Tao Wang, Bo Shen, Jinglin Zhang, Yu Zhong
2024 J jnl
TGIN: Document-level event extraction with two-phase graph inference network.
Neural Networks
Yu Zhong, Bo Shen, Tao Wang
2023 J jnl
Converting hyperparameter gamma in distance-based loss functions to normal parameter for knowledge graph completion.
Appl. Intell.
Jinglin Zhang, Bo Shen, Tao Wang, Yu Zhong
2023 J jnl
Improving PLMs for Graph-to-Text Generation by Relational Orientation Attention.
Neural Process. Lett.
Tao Wang, Bo Shen, Jinglin Zhang, Yu Zhong
2023 J jnl
SSKGE: a time-saving knowledge graph embedding framework based on structure enhancement and semantic guidance.
Appl. Intell.
Tao Wang, Bo Shen, Yu Zhong