Alternatives and similar repositories for GraphKan

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

• WillHua127 / GraphKAN-Graph-Kolmogorov-Arnold-Networks
  ☆341Updated last year
• GraphMamba / GMN
  ☆118Updated last year
• Jinfeng-Xu / FKAN-GCF
  ☆34Updated 4 months ago
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆42Updated 2 months ago
• bowang-lab / Graph-Mamba
  Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
  ☆283Updated last year
• liun-online / WaveGC
  Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'
  ☆20Updated 3 weeks ago
• networkslab / CKGConv
  The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)
  ☆26Updated 10 months ago
• LiuChuang0059 / Gradformer
  Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay
  ☆44Updated 5 months ago
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆82Updated 7 months ago
• benfinkelshtein / CoGNN
  ☆55Updated 6 months ago
• XiaoxinHe / Graph-ViT-MLPMixer
  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
  ☆160Updated last year
• qhgz2013 / HyperDNE
  ☆10Updated last year
• HHW-zhou / TDHNN
  Code of "Totally Dynamic Hypergraph Neural Network"
  ☆23Updated last year
• hazdzz / chebnet
  The PyTorch version of ChebNet.
  ☆35Updated 6 months ago
• icm1018 / GEAET
  ☆33Updated 2 months ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆60Updated 7 months ago
• lmy1997 / tuxiaoshi
  ☆228Updated 8 months ago
• MGitHubL / Deep-Temporal-Graph-Clustering
  ☆47Updated 3 weeks ago
• chr26195 / PMLP
  This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…
  ☆88Updated last year
• EdisonLeeeee / GraphSSM
  [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
  ☆16Updated 5 months ago
• avishkarsaha / learning-adaptive-neighborhoods-for-gnns
  Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.
  ☆17Updated last year
• YuGuangWang / UFG
  ☆35Updated 2 years ago
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆76Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆83Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 2 months 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
• PHD-lanyu / GTC
  ☆32Updated 8 months ago
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆44Updated last year
• MGzhou / gcn-model
  图卷积网络模型代码 | Graph Convolutional Network Code | Pytorch
  ☆15Updated 11 months ago
• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆93Updated 6 months ago