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
  ☆350Updated last year
• bowang-lab / Graph-Mamba
  Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
  ☆326Updated last year
• avishkarsaha / learning-adaptive-neighborhoods-for-gnns
  Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.
  ☆21Updated 2 years ago
• icm1018 / GEAET
  ☆37Updated 8 months ago
• lmy1997 / tuxiaoshi
  ☆241Updated last year
• LiuChuang0059 / StructMAE
  Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
  ☆14Updated last year
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆66Updated last year
• hazdzz / chebnet
  The PyTorch version of ChebNet.
  ☆39Updated last year
• Jinfeng-Xu / FKAN-GCF
  [CIKM'25] Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
  ☆38Updated 2 weeks ago
• HHW-zhou / TDHNN
  Code of "Totally Dynamic Hypergraph Neural Network"
  ☆24Updated last year
• PHD-lanyu / GTC
  ☆45Updated last year
• LiuChuang0059 / Gradformer
  Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay
  ☆51Updated last year
• wangjs96 / Graph-in-Graph-Neural-Network
  Graph in Graph Neural Network (https://arxiv.org/abs/2407.00696)
  ☆15Updated last year
• MGitHubL / Deep-Temporal-Graph-Clustering
  ☆62Updated this week
• limengran98 / HGTN
  The codes of Hpyergraph Transformer Nerual Networks.
  ☆21Updated last year
• ZhihaoWu99 / GCKM
  Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.
  ☆11Updated 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 …
  ☆45Updated 11 months ago
• networkslab / CKGConv
  The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)
  ☆32Updated last year
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆112Updated 5 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆101Updated 2 weeks ago
• fry325 / GCN_GAT_reproduce
  reproduce two famous GNN model, GCN and GAT
  ☆25Updated 4 years ago
• benfinkelshtein / CoGNN
  ☆58Updated last year
• wangfuli / T-HyperGNNs
  Tensor-based hypergraph neural networks
  ☆18Updated last year
• sunxiaobei / awesome-attention-based-gnns
  A collection of resources on attention-based graph neural networks
  ☆85Updated last year
• EdisonLeeeee / GraphSSM
  [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
  ☆15Updated 11 months ago
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆37Updated last year
• 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
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 8 months ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆38Updated 2 years ago