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
  ☆348Updated last year
• avishkarsaha / learning-adaptive-neighborhoods-for-gnns
  Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.
  ☆20Updated last year
• icm1018 / GEAET
  ☆36Updated 6 months ago
• bowang-lab / Graph-Mamba
  Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
  ☆314Updated last year
• lmy1997 / tuxiaoshi
  ☆239Updated last year
• GraphMamba / GMN
  ☆121Updated last year
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆63Updated 11 months ago
• PHD-lanyu / GTC
  ☆40Updated last year
• networkslab / CKGConv
  The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)
  ☆31Updated last year
• bdi-lab / SpoT-Mamba
  SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces (To appear in Spatio-Temporal Reasoning …
  ☆43Updated 9 months ago
• wangfuli / T-HyperGNNs
  Tensor-based hypergraph neural networks
  ☆16Updated last year
• HHW-zhou / TDHNN
  Code of "Totally Dynamic Hypergraph Neural Network"
  ☆23Updated last year
• ZhihaoWu99 / GCKM
  Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.
  ☆11Updated last year
• LiuChuang0059 / StructMAE
  Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
  ☆12Updated last year
• Jinfeng-Xu / FKAN-GCF
  [CIKM'25] Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
  ☆36Updated last month
• EdisonLeeeee / GraphSSM
  [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
  ☆16Updated 9 months ago
• EdisonLeeeee / SpikeNet
  [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
  ☆74Updated 2 years ago
• LiuChuang0059 / Gradformer
  Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay
  ☆48Updated 10 months ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆48Updated last year
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 6 months ago
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆41Updated 2 years ago
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆112Updated 5 years ago
• XiaobinHong / LAD-GNN
  The source code of LAD-GNN.
  ☆18Updated last year
• liun-online / WaveGC
  Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'
  ☆33Updated 3 months ago
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆44Updated 6 months ago
• MGitHubL / Deep-Temporal-Graph-Clustering
  ☆56Updated last month
• XiaShan1227 / GNN-Tutorial
  B站GNN教程资料
  ☆173Updated last year
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆80Updated last year
• zshicode / GNN-AttCL-protein
  Models and benchmarks for protein classification
  ☆10Updated 2 years ago