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
  ☆346Updated last year
• icm1018 / GEAET
  ☆37Updated 8 months ago
• ZhihaoWu99 / GCKM
  Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.
  ☆11Updated last year
• bowang-lab / Graph-Mamba
  Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
  ☆319Updated 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
• lmy1997 / tuxiaoshi
  ☆241Updated last year
• wangfuli / T-HyperGNNs
  Tensor-based hypergraph neural networks
  ☆18Updated last year
• Jinfeng-Xu / FKAN-GCF
  [CIKM'25] Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
  ☆37Updated 3 months ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆64Updated last year
• LiuChuang0059 / StructMAE
  Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
  ☆13Updated last year
• networkslab / CKGConv
  The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)
  ☆32Updated last year
• LiuChuang0059 / Gradformer
  Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay
  ☆50Updated 11 months ago
• PHD-lanyu / GTC
  ☆43Updated last year
• HHW-zhou / TDHNN
  Code of "Totally Dynamic Hypergraph Neural Network"
  ☆24Updated last year
• MGitHubL / Deep-Temporal-Graph-Clustering
  ☆59Updated 2 months ago
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆45Updated last week
• BUPT-GAMMA / IGM
  source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".
  ☆18Updated last year
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆49Updated last year
• hazdzz / chebnet
  The PyTorch version of ChebNet.
  ☆38Updated 11 months ago
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆35Updated last year
• EdisonLeeeee / GraphSSM
  [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
  ☆15Updated 11 months ago
• fry325 / GCN_GAT_reproduce
  reproduce two famous GNN model, GCN and GAT
  ☆25Updated 4 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 8 months ago
• uestclbh / PC-Conv
  ☆15Updated last year
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆40Updated 2 years ago
• qbxlvnf11 / graph-neural-networks-for-graph-classification
  Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
  ☆111Updated 5 years ago
• EdisonLeeeee / SpikeNet
  [AAAI 2023] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
  ☆76Updated 2 years ago
• LuckyTiger123 / KAA
  The code Implementation of the paper “KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks".
  ☆30Updated 9 months ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆87Updated 3 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆101Updated 4 months ago