xingye1999's repositories
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
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
DeepHypergraph
A pytorch library for graph and hypergraph computation.
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)
github-demo
github-demo
GitRemoteBranch
GitRemoteBranch
Grad-Align-full
Complete journal version of Grad-Align
GraphUIL
Graph Neural Networks for User Identity Linkage
HyperGCL
[NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
IONE-Aligning-Users-across-Social-Networks-Using-Network-Embedding
Aligning Users across Social Networks Using Network Embedding(IJCAI),paper author uses Java,For wider application, we have updated the python version,use tensorflow1.14.0
MAUIL
The code and dataset for paper "MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage"
NetTrans-KDD20
Python code of NetTrans proposed in our paper "NetTrans: Neural Cross-Network Transformation" in KDD20
NextAlign-KDD21
Code for the paper "Balancing Consistency and Disparity in Network Alignment"
powerful-gnns
How Powerful are Graph Neural Networks?
RGCN
Pytorch implementation of a RGCN Link Prediction Model
RNCE
The implementation for paper ''Learning Regularized Noise ContrastiveEstimation for Robust Network Embedding''