Pinned Repositories
AOAM
AOAM: Automatic Optimization of Adjacency Matrix for Graph Convolutional Network
awesome-network-embedding
A curated list of network embedding techniques.
center-loss.pytorch
center loss for face recognition
ConfGCN
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
CVPR2020-Shoestring
cvpr2020 source code
deeper_insights_into_GCNs
Deeper insights into graph convolutional networks for semi-supervised learning
DeeperGNN
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
GNNFPA
A pytorch implementation of "Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs".
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
neural_tree
Jiamingz1996's Repositories
Jiamingz1996/GNNFPA
A pytorch implementation of "Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs".
Jiamingz1996/neural_tree
Jiamingz1996/center-loss.pytorch
center loss for face recognition
Jiamingz1996/CVPR2020-Shoestring
cvpr2020 source code
Jiamingz1996/DeeperGNN
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
Jiamingz1996/DeepGWC
code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification
Jiamingz1996/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Jiamingz1996/GAug
AAAI'21: Data Augmentation for Graph Neural Networks
Jiamingz1996/GCC
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Jiamingz1996/GCNmf
PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
Jiamingz1996/GNNPapers
Must-read papers on graph neural networks (GNN)
Jiamingz1996/GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) with TensorFlow 2.x and PyTorch backend.
Jiamingz1996/GraphHop
Jiamingz1996/Graphormer
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
Jiamingz1996/GResNet
Source code of GResNet
Jiamingz1996/HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目
Jiamingz1996/HyperGCN
NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
Jiamingz1996/M-GWNN
Jiamingz1996/Non-Homophily-Benchmarks
[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
Jiamingz1996/Non-Homophily-Large-Scale
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Jiamingz1996/Policy-GNN
Jiamingz1996/PTDNet
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Jiamingz1996/pytorch-NMF
A pytorch package for non-negative matrix factorization.
Jiamingz1996/ReduNet
Jiamingz1996/SDCN
Structural Deep Clustering Network
Jiamingz1996/SGCN
Jiamingz1996/SimP-GCN
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
Jiamingz1996/SSGC
Implementation for Simple Spectral Graph Convolution in ICLR 2021
Jiamingz1996/SuperGAT
Official implementation of Self-supervised Graph Attention Networks (SuperGAT), ICLR 2021.
Jiamingz1996/WGCN_Graph-Convolutional-Networks-with-Weighted-Structural-Features
WGCN: Graph Convolutional Networks with Weighted Structural Features, SIGIR 2021