Tengwei Song

According to our database, Tengwei Song authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Expressiveness Analysis and Enhancing Framework for Geometric Knowledge Graph Embedding Models.

Tengwei Song, Long Yin, Yang Liu, Long Liao, Jie Luo, Zhiqiang Xu

IEEE Trans. Knowl. Data Eng., January, 2025

2024

Modulate Your Spectrum in Self-Supervised Learning.

Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Muhammad Anwer, Salman Khan, Fahad Khan, Lei Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Spatio-Temporal Hypergraph Learning for Next POI Recommendation.

Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation.

Tengwei Song, Long Yin, Xudong Ma, Jie Luo

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

Pre-train Unified Knowledge Graph Embedding with Ontology.

Tengwei Song, Jie Luo, Xiangyu Chen

Proceedings of the Knowledge Science, Engineering and Management, 2022

Attention-based Learning for Multiple Relation Patterns in Knowledge Graph Embedding.

Tengwei Song, Jie Luo

Proceedings of the Knowledge Science, Engineering and Management, 2022

2021

Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding.

Tengwei Song, Jie Luo, Lei Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

BioRel: towards large-scale biomedical relation extraction.

Rui Xing, Jie Luo, Tengwei Song

BMC Bioinform., 2020

2019

BioRel: A Large-Scale Dataset for Biomedical Relation Extraction.

Rui Xing, Jie Luo, Tengwei Song

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019