StellarGraph - Machine Learning on Graphs

Benchmark datasets, data loaders, and evaluators for graph machine learning

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

A Python client for the Neo4j Graph Data Science (GDS) library

GraphXAI: Resource to support the development and evaluation of GNN explainers

Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)

Implementation of Directional Graph Networks in PyTorch and DGL

SignNet and BasisNet

The integration of HugeGraph with AI/LLM & GraphRAG

Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction

A Graph Machine Learning library using Quantum Computing

Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)

[NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs

[ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类

ComptoxAI - An artificial Intelligence toolkit for computational toxicology

New structural distributional shifts for evaluating graph models

Source code of ME2Vec.