graph-networks topic

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (IC...

baldassarreFe

Build Graph Nets in Tensorflow

google-deepmind

TypeDB-ML is the Machine Learning integrations library for TypeDB

vaticle

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

PaddlePaddle

A toolkit for mapping networks of political and economic influence through diverse types of entities and their relations. Accessible at http://granoproject.org

ANCIR

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

materialsvirtuallab

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

yazdotai

[CVPR2019]Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks

dineshreddy91

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

aimat-lab

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

rctzeng