JhuoW

ERIC

[NeurIPS-2022] Efficient gRaph sImilarity Computation with Alignment Regularization

DiffusionGAN

CycleGAN_practice

图像风格迁移算法CycleGAN复现练习, 基于PyTorch

AdaGCN

reproduce ICLR2021 paper "AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models"

GraLSP_pytorch

PyTorch Reimplementation of AAAI2020 paper "GraLSP: Graph Neural Networks with Local Structural Patterns"

CAHNE

PA-GCL

PE-GCL

Code for IJCAI 2022 paper PE-GCL

PMP

[ICLR-2024] Partitioning Message Passing for Graph Fraud Detection

JhuoW.github.io

My Blog. Redirects to https://jhuow.fun/

pytorch_geometric_signed_directed

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric.

Awesome-Graph-LLM

A collection of AWESOME things about Graph-Related LLMs.

CGNN

CGNN_submit

CGNNv2

ERIC_Submit

FT

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

Graph_Imbalanced_Learning

GraphImb

GSAT

[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

pygsp

Graph Signal Processing in Python

Pytorch_Program_Templete

My Pytorch Program Templete for GNN

SubEmb

WebComments

WWW20-Hands-on-Tutorial

Materials for DGL hands-on tutorial in WWW 2020

benchmarking-gnns

Repository for benchmarking graph neural networks

CorrectAndSmooth

[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). Jupyter Notebook coming soon and an inductive example as well. I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings and attention mechanism.