graph-convolutional-networks topic

Graph Convolutional Networks in JAX

gcucurull

A PyTorch Geometric implementation of SimGNN with some extensions.

gospodima

A collection of important graph embedding, classification and representation learning papers with implementations.

benedekrozemberczki

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

benedekrozemberczki

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

xwhan

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

ianycxu

StellarGraph - Machine Learning on Graphs

stellargraph

TypeDB-ML is the Machine Learning integrations library for TypeDB

vaticle

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanatio...

shubhomoydas

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

benedekrozemberczki