Yixuan He's repositories
pytorch_geometric_signed_directed
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
SSSNET_Signed_Clustering
Official code for the SDM2022 paper -- SSSNET: Semi-Supervised Signed Network Clustering.
DIGRAC_Directed_Clustering
Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
ASiNE
This repository provides a reference implementation of ASiNE: Adversarial Signed Network Embedding (SIGIR 2020).
CSNE
Source code for CSNE: Conditional Signed Network Embeddings (CIKM2020)
DiGCN
Implement of DiGCN, NeurIPS-2020
DySAT
Representation learning on dynamic graphs using self-attention networks
example_project_demonstrator
Used as an example R project for practical in reproducible workflow.
GATNE
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
GraphSAGE_RL
Advancing GraphSAGE with A Data-driven Node Sampling
paperai
AI-powered literature discovery and review engine for medical/scientific papers
pyg_autoscale
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
pytorch-Deep-Learning
Deep Learning (with PyTorch)
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
SiGAT
source code for signed graph attention networks
SigNet
A package for clustering of Signed Networks
SPMF
Signed Network Representation by Preserving Multi-order Signed Proximity
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.