A convolutional neural network for graph classification in PyTorch
☆91Feb 15, 2019Updated 7 years ago
Alternatives and similar repositories for cnn-graph-classification
Users that are interested in cnn-graph-classification are comparing it to the libraries listed below
Sorting:
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Oct 16, 2020Updated 5 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆178May 14, 2018Updated 7 years ago
- A package for computing Graph Kernels☆103Jul 21, 2023Updated 2 years ago
- A package for computing Graph Kernels☆33Jul 26, 2018Updated 7 years ago
- PyTorch implementation of DGCNN☆397Sep 13, 2023Updated 2 years ago
- A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.☆24Jun 11, 2019Updated 6 years ago
- Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018☆28Oct 21, 2020Updated 5 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆274Nov 6, 2022Updated 3 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆330Aug 3, 2018Updated 7 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆157Dec 4, 2017Updated 8 years ago
- An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.☆35May 19, 2017Updated 8 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Jul 18, 2019Updated 6 years ago
- Awesome Graph Embedding Techinques☆60Nov 26, 2018Updated 7 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆63Jun 9, 2021Updated 4 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,367Jun 13, 2020Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Feb 20, 2020Updated 6 years ago
- A library for hypergraphs and hypergraph algorithms☆28Oct 30, 2015Updated 10 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆296Feb 28, 2022Updated 4 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆179May 15, 2023Updated 2 years ago
- ☆13Jul 16, 2019Updated 6 years ago
- Graph Metric Learning in PyTorch☆10Apr 7, 2021Updated 4 years ago
- Metric Learning with Graph Convolutional Neural Networks☆208Oct 14, 2018Updated 7 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Jun 7, 2025Updated 8 months ago
- Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation☆66Nov 7, 2018Updated 7 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Aug 7, 2018Updated 7 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Jan 28, 2020Updated 6 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Jan 20, 2022Updated 4 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)☆48Feb 25, 2019Updated 7 years ago
- ☆12May 31, 2021Updated 4 years ago
- Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing☆11Jan 7, 2020Updated 6 years ago
- Multi-Graph Multi-Label Learning☆11May 30, 2018Updated 7 years ago
- MATLAB codes for several tensor based methods for hypergraph partitioning and subspace clustering☆14Sep 26, 2018Updated 7 years ago
- ☆1,288Nov 5, 2023Updated 2 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Apr 27, 2019Updated 6 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 4 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Nov 6, 2022Updated 3 years ago
- ☆16Apr 11, 2020Updated 5 years ago