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:
- ☆36Updated 9 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆51Updated last year
- Official Pytorch implementation of Chromatic Graph Transformers☆10Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆50Updated last year
- Directional diffusion models☆43Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆49Updated last month
- [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
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆24Updated 3 years ago
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆40Updated last year
- ☆12Updated last year
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆50Updated 2 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆72Updated 4 months ago
- ☆59Updated last year
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆38Updated 6 months ago
- Source code accompanying the 'An end-to-end attention-based approach for learning on graphs' paper☆74Updated 2 months ago
- The codes of Hpyergraph Transformer Nerual Networks.☆23Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆31Updated 3 years ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆36Updated last year
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- Edge-Augmented Graph Transformer☆51Updated 3 years ago
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆46Updated 9 months ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 6 months ago
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- [Preprint] Graph State Space Convolution (GSSC)☆14Updated last year
- Implementation of GraphKan with torch geometrics and its application on signal classification☆68Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆167Updated last year
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆21Updated last year