muhanzhang / pytorch_DGCNNView external linksLinks
PyTorch implementation of DGCNN
☆397Sep 13, 2023Updated 2 years ago
Alternatives and similar repositories for pytorch_DGCNN
Users that are interested in pytorch_DGCNN are comparing it to the libraries listed below
Sorting:
- 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
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- ☆504Jan 13, 2021Updated 5 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆65Aug 10, 2023Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,271Jul 1, 2021Updated 4 years ago
- ☆1,818May 20, 2022Updated 3 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Mar 22, 2022Updated 3 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆546Sep 17, 2020Updated 5 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆337Oct 16, 2020Updated 5 years ago
- A convolutional neural network for graph classification in PyTorch☆91Feb 15, 2019Updated 7 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,188Jul 31, 2022Updated 3 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆274Nov 6, 2022Updated 3 years ago
- ☆302Jul 17, 2022Updated 3 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Sep 25, 2024Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Nov 10, 2023Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Dec 13, 2021Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Mar 25, 2021Updated 4 years ago
- ☆137Jun 16, 2020Updated 5 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆74Apr 12, 2021Updated 4 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Jun 13, 2019Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Jun 27, 2019Updated 6 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,359Apr 14, 2023Updated 2 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Apr 27, 2020Updated 5 years ago
- GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks☆13Aug 13, 2021Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,498Apr 9, 2022Updated 3 years ago
- pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)☆311May 14, 2019Updated 6 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,650Jun 22, 2023Updated 2 years ago
- ☆18Mar 27, 2023Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53May 5, 2020Updated 5 years ago
- Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation☆66Nov 7, 2018Updated 7 years ago
- Position-aware Graph Neural Networks☆402Oct 12, 2020Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,657Aug 4, 2024Updated last year
- Grid-GCN for Fast and Scalable Point Cloud Learning☆186Mar 19, 2020Updated 5 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Aug 16, 2022Updated 3 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Mar 18, 2023Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆492Dec 5, 2018Updated 7 years ago