networkslab / CKGConvLinks
The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)
☆32Updated last year
Alternatives and similar repositories for CKGConv
Users that are interested in CKGConv are comparing it to the libraries listed below
Sorting:
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆51Updated last year
- ☆36Updated 10 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- Directional diffusion models☆43Updated last year
- Official Pytorch implementation of Chromatic Graph Transformers☆10Updated 2 years ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆36Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆47Updated last year
- ☆21Updated 2 years ago
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆38Updated 7 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆51Updated last year
- ☆12Updated last year
- ☆60Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆52Updated 2 months ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆57Updated 2 years ago
- The codes of Hpyergraph Transformer Nerual Networks.☆23Updated last year
- The code Implementation of the paper “KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks".☆30Updated 11 months ago
- Edge-Augmented Graph Transformer☆51Updated 3 years ago
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆49Updated 2 years ago
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆41Updated last year
- Source code accompanying the 'An end-to-end attention-based approach for learning on graphs' paper☆76Updated 3 months ago
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆22Updated last year
- Implementation of GraphKan with torch geometrics and its application on signal classification☆69Updated last year
- KDD 2025: "Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"☆18Updated 8 months ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆73Updated 5 months ago
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆34Updated 7 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Updated last year
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆47Updated 10 months ago
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆335Updated 2 years ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 3 years ago