Alternatives and similar repositories for GNN-Over-Smoothing

Users that are interested in GNN-Over-Smoothing are comparing it to the libraries listed below

• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 4 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated 2 years ago
• muhanzhang / NestedGNN
  ☆57Updated 3 years ago
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 3 years ago
• susheels / gnns-and-local-assortativity
  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…
  ☆32Updated 3 years ago
• mengliu1998 / DL4DisassortativeGraphs
  Papers about developing DL methods on disassortative graphs
  ☆48Updated 2 years ago
• GemsLab / CPGNN
  ☆29Updated 3 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 3 years ago
• cvignac / SMP
  ☆28Updated 3 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
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆41Updated 4 years ago
• Kaixiong-Zhou / EGNN
  Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.
  ☆27Updated 3 years ago
• lxiaorui / AirGNN
  ☆20Updated 2 years ago
• RPaolino / fLode
  ☆18Updated last year
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated 2 years ago
• alge24 / ADA-UGNN
  A Unified View on Graph Neural Networks as Graph Signal Denoising
  ☆9Updated 3 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 4 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
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 3 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 4 years ago
• Shen-Lab / GDA-SpecReg
  [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆21Updated 2 years ago
• zhumeiqiBUPT / GNN-LF-HF
  WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework
  ☆14Updated 4 years ago
• sunilkmaurya / FSGNN
  ☆32Updated 2 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆80Updated last year
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆42Updated 3 years ago
• DeepGraphLearning / ContinuousGNN
  ☆47Updated 3 years ago
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆34Updated 3 years ago
• ykiiiiii / ACMP
  ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)
  ☆20Updated last year
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆27Updated 2 years ago