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

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

The integration of HugeGraph with AI/LLM & GraphRAG

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.

A benchmark of meaningful graph datasets with tabular node features