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alp-baselines

Baselines for anchor link prediction (including MNA, PALE, IONE, FINAL, FRUI-P, CROSSMNA, REGAL, HYDRA, STUL)

bright

The code for WWW'21 BRIGHT paper

caper

cenalp

Code of paper "Joint Link Prediction and Network Alignment via Cross-graph Embedding"

cgna

crossmna

ctsa

dana

Domain-adversarial Network Alignment

dctan

deephypergraph

A pytorch library for graph and hypergraph computation.

deeplink

a simplified python implementation for DeepLink (DeepLink: A Deep Learning Approach for User Identity Linkage)

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dlgnn

dva

🌱 React and redux based, lightweight and elm-style framework. (Inspired by elm and choo)

final-kdd16

Matlab code for the method proposed in "Final: Fast attributed network alignment" (KDD'16)

frontend-scenario

galign

This is the code of the paper: Adaptive Network Alignment with Multi-order Convolutional Networks

gcc

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

gitdemo

github-demo

github-demo

gitremotebranch

GitRemoteBranch

grad-align-full

Complete journal version of Grad-Align

gradalign_plus

graphletalign

Network Alignment - Higher Order Proximity

graphuil

Graph Neural Networks for User Identity Linkage

hnhn

Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.

hypergcl

[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang

hypergcn

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models