DropEdge / DropEdge

An NSFW Image Classification REST API for effortless Content Moderation built with Node.js, Tensorflow, and Parse Server

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.

This is the repository for the collection of Graph-based Deep Learning for Communication Networks.

A PyTorch implementation of of E-GraphSAGE.

Strategies for Pre-training Graph Neural Networks

#计算机科学#Graph Neural Network Library for PyTorch

#计算机科学#How Powerful are Graph Neural Networks?

Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Graph Attention Network), which will continue to be updated in the ...

#计算机科学#CVPR 2025 论文和开源项目合集