graph-machine-learning topic

Implementation of Directional Graph Networks in PyTorch and DGL

Saro00

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

sunfanyunn

Build ML pipelines for Computer Vision, NLP and Graph Neural Networks using Triton Server.

sachinsharma9780

SignNet and BasisNet

cptq

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

mims-harvard

Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

oracle-samples

IDAO 2022: Machine Learning Bootcamp

isadrtdinov

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.

NYU-MLDA

The integration of HugeGraph with artificial intelligence

apache

Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"

HipGraph