Temporal group-aware graph diffusion networks for dynamic link prediction

Article Computer Science, Information Systems

MTGCN: A multi-task approach for node classification and link prediction in graph data

Zongqian Wu et al.

Summary: In this paper, a Multi-Task and Multi-Graph Convolutional Network (MTGCN) is proposed to conduct node classification and link prediction simultaneously. MTGCN consists of multiple multi-task learning to capture the complementary information between node classification and link prediction, and enhances the information to guarantee the quality of representations by exploring the complex structure inherent in the graph data.

INFORMATION PROCESSING & MANAGEMENT (2022)

添加到收藏夹

Article Computer Science, Information Systems

Accuracy-diversity trade-off in recommender systems via graph convolutions

Elvin Isufi et al.

Summary: The study introduces a joint graph convolutional model that balances accuracy and diversity in recommender systems by learning convolutions from nearest neighbor and furthest neighbor graphs, with the information between the two modules balanced in training through a regularizer inspired by multi-kernel learning. The proposed method can significantly improve catalog coverage or diversity within the list, with diversity gains up to seven times by trading as little as 1% in accuracy.

INFORMATION PROCESSING & MANAGEMENT (2021)

添加到收藏夹

Article Biochemical Research Methods

Application of network link prediction in drug discovery

Khushnood Abbas et al.

Summary: This study evaluates a wide range of network-based machine learning algorithms for predicting network links in biomedical data, focusing on drug-target and drug-drug interactions. By converting the link prediction problem into a binary classification problem, the research achieved promising results with top performers being Prone, ACT, and LRW5 across all datasets. This work provides guidance for researchers in selecting appropriate machine learning methods for pharmaceutical tasks.

BMC BIOINFORMATICS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence