IEEE

Context Correlation Discrepancy Analysis for Graph Anomaly Detection

Abstract: In unsupervised graph anomaly detection, existing methods usually focus on detecting outliers by learning local context information of nodes, while often ignoring the importance of global ...
IEEE

Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

Abstract: Using skeletal information to model and recognize human actions is currently a hot research subject in the realm of Human Action Recognition (HAR). Graph Convolutional Networks (GCN) have ...
GitHub

GraphXForm: Graph transformer for computer-aided molecular design

This is the repository for the paper GraphXForm: Graph transformer for computer-aided molecular design, published in Digital Discovery. The terminal output will show under which subdirectory (named ...
GitHub

Can Graph Learning Improve Planning in LLM-based Agents?

This is the official implementation for our NeurIPS 2024 paper "Can Graph Learning Improve Planning in LLM-based Agents?" [中文] For running LLM's direct inference or GraphSearch, our codes are ...
洗護用品和肥皂

Indonesia: Batang Toru hydropower project allegedly linked to intimidation of conservationists, death of activist, and impacts on local livelihoods; incl. cos. non-response

On 17 August, a report titled "The Chinese Dam Threatening the World’s Most Endangered Ape" was published by Inside Climate News, detailing various aspects of human rights violations surrounding the ...