IEEE

Subgraph-Aware Graph Kernel Neural Network for Link Prediction in Biological Networks

Abstract: Identifying links within biological networks is important in various biomedical applications. Recent studies have revealed that each node in a network may play a unique role in different ...
IEEE

One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion

Abstract: Knowledge Graph Completion (KGC) has garnered massive research interest recently, and most existing methods are designed following a transductive setting where all entities are observed ...
GitHub

Subgraph-conditioned Graph Information Bottleneck

We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...
GitHub

Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion

To prepare the data, you can run the ./construct_subgraph/graph_prune.py and then run ./construct_instruction.py to construct train and valid instruction datasets ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...