roshan7798

GNN-SubNet

Disease subnetwork detection with explainable Graph Neural Networks

socialnetwork-vae

Graph Auto-Encoders for Social Network Link Prediction

ELGNN

OGB-ddi

MultiSup

Code for the paper "Supervised link prediction in multiplex networks. Knowledge-Based Systems, 203, 2020".

RMNE

This repo contains the source code and datasets of ICML' 2022 paper: Role-based Multiplex Network Embedding.

Hattusha

Multiplex Network Embedding

multiplexsage

This is the code for MultiplexSAGE, a generalization of the GraphSAGE algorithm that allows to embed multiplex networks.

NEMN

Network Embedding framework in Multiplex Networks

DualHGCN

[WWW'21] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks

tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

subgraph-sketching

code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486

SEAL_OGB

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

NeuralCommonNeighbor

HeaRT

HyperPGNN

LinkPrediction

Implementation of different classes of link predictors and methods to assess and visualise their performance.

simanneal

Python module for Simulated Annealing optimization

GraphOTy

A Graph Optimal Transport Python Package

PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

metapath2vec

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

node2vec

NodeSim

Implementation for NodeSim Network Embedding Method

deepwalk

DeepWalk - Deep Learning for Graphs

PytorchGeometricTutorial

Pytorch Geometric Tutorials

graph-neural-network

Tutorial on deep learning models that can work with graph data

MultilayerGraphs.jl

A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning