Alternatives and similar repositories for Robustness-of-Graph-Neural-Diffusion

Users that are interested in Robustness-of-Graph-Neural-Diffusion are comparing it to the libraries listed below

• zknus / Graph-Diffusion-CDE
  Graph Neural Convection-Diffusion with Heterophily
  ☆11Updated 2 years ago
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• RPaolino / fLode
  ☆18Updated last year
• huangJC0429 / Mid-GCN
  This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)
  ☆13Updated 2 years ago
• tsinghua-fib-lab / AMCNet
  The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)
  ☆10Updated 2 years ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆38Updated 2 years ago
• yifeiwang77 / DGC
  Official Code of Decoupled Graph Convolution (DGC)
  ☆16Updated 3 years ago
• hieubkvn123 / revisiting-gnn-curvature
  Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
  ☆17Updated 2 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 3 years ago
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆34Updated 2 years ago
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆40Updated last year
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆16Updated 11 months ago
• cchao0116 / SGMC-AAAI21
  Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"
  ☆11Updated 3 years ago
• RingBDStack / PASTEL
  Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"
  ☆15Updated last year
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 4 years ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆45Updated 9 months ago
• sajqavril / homophily-and-heterophily-in-gnn
  Reading list of papers (basically are conference papers) about homophily and heterophily in GNNs.
  ☆9Updated 2 years ago
• ChandlerBang / DeCorr
  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
  ☆45Updated last year
• yanweiyue / MoG
  the code of MoG
  ☆16Updated 10 months ago
• Xzh0u / GBK-GNN
  Code for GBK-GNN (paper accepted by WWW2022)
  ☆16Updated 2 years ago
• BarSGuy / Subgraphormer
  Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)
  ☆9Updated 10 months ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated 2 years ago
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 2 years ago
• psanch21 / LCAT
  ☆20Updated last year
• nerdslab / halfhop
  Official Implementation of Half-Hop
  ☆19Updated last year
• jumxglhf / AKGNN
  The source code for Adaptive Kernel Graph Neural Network at AAAI2022
  ☆14Updated 3 years ago
• Amanda-Zheng / LEBED
  Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
  ☆16Updated last year
• zhumeiqiBUPT / GNN-LF-HF
  WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework
  ☆14Updated 3 years ago
• Kaixiong-Zhou / EGNN
  Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.
  ☆26Updated 3 years ago
• wenzhilics / HomoGCL
  "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23
  ☆13Updated last year