IEEE

Spatial–Spectral Graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images

Abstract: Hyperspectral image (HSI) clustering is a fundamental yet challenging task that groups image pixels with similar features into distinct clusters. Among various approaches, contrastive ...
IEEE

AutoDDI: Drug–Drug Interaction Prediction With Automated Graph Neural Network

Abstract: Drug–drug interaction (DDI) has attracted widespread attention because when incompatible drugs are taken together, DDI will lead to adverse effects on the body, such as drug poisoning or ...
GitHub

TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis

We introduce graph Transformer into text representation learning and apply it to the ABSA task. To tightly combine the 2 text learning processes in graph view and sequence view, we propose a novel ...
GitHub

Learning Graph Representation via Graph Entropy Maximization (GeMax)

This is the code repository for [Paper]: "Learning Graph Representation via Graph Entropy Maximization (ICML 2024)". GeMax is an approximation method leveraging orthonormal representation for graph ...