Pinned Repositories
AdaGCN
reproduce ICLR2021 paper "AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models"
CAHNE
CycleGAN_practice
图像风格迁移算法CycleGAN复现练习, 基于PyTorch
DiffusionGAN
ERIC
[NeurIPS-2022] Efficient gRaph sImilarity Computation with Alignment Regularization
GNN_algorithm
自己对一些GNN算法的拙劣复现 基于Tensorflow2.3
GraLSP_pytorch
PyTorch Reimplementation of AAAI2020 paper "GraLSP: Graph Neural Networks with Local Structural Patterns"
LPA-algorithm-Demo
a demo of a community detection algorithm
PA-GCL
PrivateProtect
An android project to show some base function on listview ,webserview and more UI method
JhuoW's Repositories
JhuoW/ERIC
[NeurIPS-2022] Efficient gRaph sImilarity Computation with Alignment Regularization
JhuoW/DiffusionGAN
JhuoW/CycleGAN_practice
图像风格迁移算法CycleGAN复现练习, 基于PyTorch
JhuoW/AdaGCN
reproduce ICLR2021 paper "AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models"
JhuoW/GraLSP_pytorch
PyTorch Reimplementation of AAAI2020 paper "GraLSP: Graph Neural Networks with Local Structural Patterns"
JhuoW/GNN_algorithm
自己对一些GNN算法的拙劣复现 基于Tensorflow2.3
JhuoW/CAHNE
JhuoW/PA-GCL
JhuoW/PE-GCL
Code for IJCAI 2022 paper PE-GCL
JhuoW/JhuoW.github.io
My Blog. Redirects to https://jhuow.fun/
JhuoW/PMP
[ICLR-2024] Partitioning Message Passing for Graph Fraud Detection
JhuoW/pytorch_geometric_signed_directed
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric.
JhuoW/Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
JhuoW/benchmarking-gnns
Repository for benchmarking graph neural networks
JhuoW/CGNN
JhuoW/CGNN_submit
JhuoW/CorrectAndSmooth
[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
JhuoW/ERIC_Submit
JhuoW/FT
JhuoW/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
JhuoW/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
JhuoW/Graph_Imbalanced_Learning
JhuoW/GraphImb
JhuoW/GSAT
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
JhuoW/pygsp
Graph Signal Processing in Python
JhuoW/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.
JhuoW/Pytorch_Program_Templete
My Pytorch Program Templete for GNN
JhuoW/SubEmb
JhuoW/WebComments
JhuoW/WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020