ahszhang

ahszhang's Stars

• bingreeky/HeteroSnoH

  Language:Python6

• sangyx/gtrick

  Bag of Tricks for Graph Neural Networks.

  Language:Jupyter Notebook28419

• LUMIA-Group/OrderedGNN

  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).

  Language:Python375

• ahszhang/GNNOversquashingSurvey

  A collection of papers related to over-squashing, over-smoothing, etc.

  2

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python89896

• gkm0120/Graph-Neural-Network-Papers

  图神经网络、图卷积网络、图注意力网络、图自编码网络、时空图神经网络等论文合集。

  Language:Jupyter Notebook9014

• tanz0119/thesis

  This repository contains the latex source files that can be used for QE report and PhD thesis in the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU).

  Language:PostScript3811

• ki-ljl/GNNs-for-Node-Classification

  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Graph Attention Network), which will continue to be updated in the future.

  Language:Python12523

• miracleyoo/pytorch-lightning-template

  An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.

  Language:Jupyter Notebook1.3k195

• zyzisastudyreallyhardguy/GOAL-Graph-Complementary-Learning

  The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs"

  Language:Python152

• emalgorithm/directed-graph-neural-network

  Dir-GNN is a machine learning model that enables learning on directed graphs.

  Language:Python754

• DaehanKim/vgae_pytorch

  This repository implements variational graph auto encoder by Thomas Kipf.

  Language:Python38573

• yixinliu233/D2PT

  [KDD'23] Learning Strong Graph Neural Networks with Weak Information

  Language:Python433

• ntkien1904/DegFairGNN

  On Generalized Degree Fairness in Graph Neural Networks

  Language:Python71

• BUPT-GAMMA/Graph-Structure-Estimation-Neural-Networks

  Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"

  Language:Python5813

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  79672

• Bayi-Hu/GIFT-Graph-guided-Feature-Transfer-Network

  Source code for GIFT (CIKM 22)

  Language:Python123

• zaixizhang/ANS-GT

  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"

  Language:Python476

• yandex-research/heterophilous-graphs

  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?

  Language:Python956

• SitaoLuan/ACM-GNN

  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

  Language:Python728

• JHL-HUST/NAGphormer

  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

  Language:Python11215

• sunilkmaurya/DualNetGNN

  Language:Python53

• hedongxiao-tju/BM-GCN

  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".

  Language:Python317

• alexfanjn/Graph-Neural-Networks-With-Heterophily

  This repository contains the resources on graph neural network (GNN) considering heterophily.

  22521

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k3k

• liu-yushan/calGNN

  Language:Python22

• tjoo512/belief-matching-framework

  Belief matching framework official implementation

  Language:Python384

• BorgwardtLab/TOGL

  Topological Graph Neural Networks (ICLR 2022)

  Language:Python11623

• AngusMonroe/Graph-Classification-Baseline

  A framework of graph classification baselines which including TUDataset Loader, GNN models and visualization.

  Language:Jupyter Notebook103

• js05212/PyTorch-for-NPN

  Officially unofficial PyTorch code for the NIPS paper 'Natural-Parameter Networks: A Class of Probabilistic Neural Networks'

  Language:Python112