Ryanfzhang / GraphKan
Implementation of GraphKan with torch geometrics and its application on signal classification
☆61Updated 10 months ago
Alternatives and similar repositories for GraphKan:
Users that are interested in GraphKan are comparing it to the libraries listed below
- ☆340Updated 11 months ago
- ☆33Updated 3 months ago
- ☆116Updated last year
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆277Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆24Updated 8 months ago
- ☆32Updated 3 weeks ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆21Updated 11 months ago
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆17Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆59Updated 6 months ago
- Transformer-based Spectral Graph Neural Networks☆80Updated 6 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆159Updated last year
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆15Updated 3 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated 10 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆44Updated 4 months ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆41Updated 2 weeks ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆23Updated 10 months ago
- ☆224Updated 6 months ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated 11 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- ☆35Updated 2 years ago
- ☆43Updated 4 months ago
- reproduce two famous GNN model, GCN and GAT☆24Updated 3 years ago
- Image classification using Graph Neural Networks (GNNs) with MNIST dataset☆39Updated 2 years ago
- Directional diffusion models☆36Updated 5 months ago
- ☆51Updated 5 months ago
- ☆53Updated 2 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆69Updated 2 years ago
- A collection of resources on attention-based graph neural networks☆71Updated last year
- The PyTorch version of ChebNet.☆36Updated 4 months ago