GeoX-Lab / CGNNLinks
☆16Updated last year
Alternatives and similar repositories for CGNN
Users that are interested in CGNN are comparing it to the libraries listed below
Sorting:
- ☆35Updated 2 years ago
- Official PyTorch code for ICCV 2023 paper 'Learning Adaptive Neighborhoods for Graph Neural Networks'.☆17Updated last year
- The PyTorch version of ChebNet.☆36Updated 6 months ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆40Updated last year
- source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"☆19Updated 4 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆64Updated last year
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 2 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 10 months ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Updated 3 years ago
- Graph Coarsening with Neural Networks☆11Updated 3 years ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆28Updated 10 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated last year
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆10Updated last year
- ☆14Updated last year
- code of DeepGWC: A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification☆18Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆55Updated 2 years ago
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- Tensor-based hypergraph neural networks☆14Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.☆70Updated 2 years ago
- ☆16Updated last year
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆10Updated last year
- The link of DGNN's model and some datasets☆16Updated 2 months ago
- A list for GNNs and related works.☆95Updated last month
- ☆54Updated 3 years ago
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- ☆33Updated 2 months ago
- Models and benchmarks for protein classification☆10Updated 2 years ago
- The implementation for DropMessage.☆37Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆28Updated 2 years ago