☆350May 3, 2024Updated last year
Alternatives and similar repositories for GraphKAN-Graph-Kolmogorov-Arnold-Networks
Users that are interested in GraphKAN-Graph-Kolmogorov-Arnold-Networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of GraphKan with torch geometrics and its application on signal classification☆70Jun 4, 2024Updated last year
- ☆749May 24, 2024Updated last year
- An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).☆4,602Aug 1, 2024Updated last year
- Kolmogorov Arnold Networks☆16,218Jan 19, 2025Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆67Oct 14, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- C++ and Cuda ops for fused FourierKAN☆82May 10, 2024Updated last year
- This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing th…☆919Apr 8, 2025Updated 11 months ago
- A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and mor…☆3,201Dec 14, 2025Updated 3 months ago
- Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments☆297Apr 9, 2025Updated 11 months ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆53Nov 18, 2025Updated 4 months ago
- Transformer model based on Kolmogorov–Arnold Network(KAN), which is an alternative of Multi-Layer Perceptron(MLP)☆29Mar 16, 2026Updated 2 weeks ago
- FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)☆472Jun 20, 2024Updated last year
- Official code for the paper Graph-level Representation Learning with Joint-Embedding Predictive Architectures published in Transactions o…☆40Jan 17, 2025Updated last year
- Convolutional layer for Kolmogorov-Arnold Network (KAN)☆117Mar 25, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- MNIST example using Kolmogorov-Arnold Networks☆28May 2, 2024Updated last year
- Variations of Kolmogorov-Arnold Networks☆116May 15, 2024Updated last year
- gkan☆18Aug 16, 2024Updated last year
- BERTOS: transformer for oxidation state prediction☆15Apr 18, 2025Updated 11 months ago
- TKAN: Temporal Kolmogorov-Arnold Networks☆227Dec 16, 2024Updated last year
- [CIKM'25] Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation☆41Dec 2, 2025Updated 3 months ago
- KAN for Vision Transformer☆253Oct 7, 2024Updated last year
- ☆220Jun 9, 2023Updated 2 years ago
- U-Net architecture with Kolmogorov-Arnold Convolutions (KA convolutions)☆46Aug 26, 2025Updated 7 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Benchmark for efficiency in memory and time of different KAN implementations.☆138Aug 26, 2024Updated last year
- A curated list of papers on graph transfer learning (GTL).☆18Oct 23, 2023Updated 2 years ago
- ☆140May 8, 2024Updated last year
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- ☆15Mar 19, 2024Updated 2 years ago
- This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showca…☆166Jun 10, 2025Updated 9 months ago
- [ICLR2025] Kolmogorov-Arnold Transformer☆855Mar 23, 2025Updated last year
- ☆27Jan 14, 2025Updated last year
- Implementation of Fractional Kolmogorov-Arnold Network (fKAN)☆31Jan 17, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆11May 25, 2024Updated last year
- ☆139Jun 17, 2025Updated 9 months ago
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated 10 months ago
- ☆36Jun 29, 2022Updated 3 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Jan 31, 2026Updated last month
- [Neurips 2024] Disentangled Graph Homophily☆28Jan 21, 2025Updated last year
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Nov 4, 2024Updated last year