SiGAT | Python Ecosystem Directory

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[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角改善类别不平衡...

Platform for designing and evaluating Graph Neural Networks (GNN)

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for...

sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

A Python Library for Graph Outlier Detection (Anomaly Detection)

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with...

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

Python package built to ease deep learning on graph, on top of existing DL frameworks.

source code for signed bipartite graph neural networks(CIKM 2021)

StellarGraph - Machine Learning on Graphs

Graph similarity algorithms based on NetworkX.

Source code for the paper: "Neural Methods for Logical Reasoning over Knowledge Graphs"

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged...

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://ar...