Search Results for author: Bosheng Song

Found 3 papers, 1 papers with code

KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion

no code implementations • 5 Apr 2024 • Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Jianxin Lin, Bosheng Song, Xiangxiang Zeng

Knowledge graph completion (KGC) aims to alleviate the inherent incompleteness of knowledge graphs (KGs), which is a critical task for various applications, such as recommendations on the web.

Knowledge Graph Embedding

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Learning to Denoise Unreliable Interactions for Link Prediction on Biomedical Knowledge Graph

no code implementations • 9 Dec 2023 • Tengfei Ma, Yujie Chen, Wen Tao, Dashun Zheng, Xuan Lin, Patrick Cheong-lao Pang, Yiping Liu, Yijun Wang, Bosheng Song, Xiangxiang Zeng

By maximizing the mutual information between the reliable structure and smoothed semantic relations, DenoisedLP emphasizes the informative interactions for predicting relation-specific links.

Denoising Drug Discovery +2

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Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction

1 code implementation • 8 Jun 2023 • Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng

Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially in drug-drug interactions (DDIs).

Drug Discovery Graph Learning +1

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