OhmNet: Representation learning in multi-layer graphs
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Updated
Nov 22, 2017 - Python
OhmNet: Representation learning in multi-layer graphs
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
DeepWalk - Deep Learning for Graphs
A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
Graph convolutional neural network for multirelational link prediction
Using pure Numpy to Implement general & graph-based deep learning model, including ANN, GCN, ...
Graph Analysis Course Notes
A comprehensive collection of GNN works in NeurIPS 2019.
Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)
Graph4CTR(GCNs, GATs, HGCNs)
Various GNN implementation using DGL library
Graph Neural Networks for Jet Identification using Deep Graph Library and Pytorch Geometric
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
Graph Convolutional Networks for 4-class EEG Classification
This repository contains 130th position solution for GE attribution challenge hosted by ALT labs
Implementation of a custom Sparse Adjacency Matrix (prior) for a Graph Neural Network classifier for MNIST
Official torch geometric code for the paper Detecting structural perturbations from time series with deep learning
Pytorch Geometric => Build Graph Neural Network RDKit => Handle Molecule Data
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