Hierarchical Graph Pooling with Structure Learning
☆345Jul 12, 2021Updated 4 years ago
Alternatives and similar repositories for HGP-SL
Users that are interested in HGP-SL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Jun 21, 2020Updated 6 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Nov 10, 2023Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆401Jun 17, 2024Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆681Aug 16, 2022Updated 3 years ago
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆290Oct 25, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Dec 7, 2022Updated 3 years ago
- Pytorch implementation of Graph U-Nets (ICML19)☆549Sep 17, 2020Updated 5 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Nov 2, 2022Updated 3 years ago
- ☆510Jan 13, 2021Updated 5 years ago
- Strategies for Pre-training Graph Neural Networks☆1,066Jul 29, 2023Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆308May 12, 2023Updated 3 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆278Mar 15, 2025Updated last year
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Dec 6, 2019Updated 6 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch [NeurIPS 2018 Workshop]☆336Oct 16, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Oct 11, 2022Updated 3 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Feb 7, 2019Updated 7 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Dec 27, 2023Updated 2 years ago
- ☆366Jun 25, 2024Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆359Jun 12, 2025Updated last year
- Memory-Based Graph Networks☆105Jun 22, 2022Updated 4 years ago
- ☆311Jul 17, 2022Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆56Apr 27, 2020Updated 6 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆194Apr 24, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Dec 2, 2019Updated 6 years ago
- Distance Encoding for GNN Design☆187Mar 20, 2021Updated 5 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆501Jul 25, 2024Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,728Feb 2, 2024Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Jul 6, 2023Updated 2 years ago
- ☆62Oct 24, 2020Updated 5 years ago
- ☆32Sep 22, 2021Updated 4 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆84Oct 23, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Position-aware Graph Neural Networks☆404Oct 12, 2020Updated 5 years ago
- The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling☆30Apr 21, 2020Updated 6 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆91Dec 12, 2019Updated 6 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆258Aug 25, 2020Updated 5 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,663Jun 22, 2023Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆365Jul 9, 2020Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆277Apr 26, 2023Updated 3 years ago