StellarGraph - Machine Learning on Graphs
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Updated
Apr 10, 2024 - Python
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)
Precision Medicine Knowledge Graph (PrimeKG)
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
[ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs
GraphXAI: Resource to support the development and evaluation of GNN explainers
A curated list of graph data augmentation papers.
Papers on Graph Analytics, Mining, and Learning
Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)
OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.
The integration of HugeGraph with artificial intelligence
Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
Implementation of Directional Graph Networks in PyTorch and DGL
SignNet and BasisNet
A benchmark suite for Graph Machine Learning
TigerLily: Finding drug interactions in silico with the Graph.
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