Alternatives and similar repositories for fLode

Users that are interested in fLode are comparing it to the libraries listed below

• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• Chen-Cai-OSU / GNN-Over-Smoothing
  A Note On Over-Smoothing for Graph Neural Network
  ☆20Updated 5 years ago
• BenGutteridge / DRew
  ☆32Updated 2 years ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆41Updated 2 years ago
• matthew-hirn / magnet
  MagNet graph convolutional network
  ☆41Updated last year
• 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
• ykiiiiii / ACMP
  ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)
  ☆20Updated 2 years ago
• YuGuangWang / UFG
  ☆36Updated 3 years ago
• ispamm / MATE
  MetA-Train to Explain
  ☆18Updated 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 4 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆16Updated 2 years ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆50Updated last year
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆58Updated 2 years ago
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆33Updated 4 years ago
• Graph-COM / PEG
  ☆42Updated 2 years ago
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆40Updated 3 years ago
• syleeheal / AERO-GNN
  Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.
  ☆30Updated 9 months ago
• muhanzhang / NestedGNN
  ☆57Updated 4 years ago
• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆13Updated last year
• yuwvandy / DPGNN
  ☆38Updated 2 years ago
• YimiAChack / GSKN
  An implementation of GSKN-Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
  ☆15Updated 4 years ago
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆41Updated 4 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆102Updated 3 weeks ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 4 years ago
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆40Updated 2 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆52Updated 2 years ago
• nerdslab / halfhop
  Official Implementation of Half-Hop
  ☆20Updated 2 years ago
• BarSGuy / Subgraphormer
  Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)
  ☆11Updated last year
• Kaixiong-Zhou / EGNN
  Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.
  ☆27Updated 4 years ago