FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-PoolingView external linksLinks
Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling".
☆277Mar 15, 2025Updated 10 months ago
Alternatives and similar repositories for Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Users that are interested in Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling are comparing it to the libraries listed below
Sorting:
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Oct 11, 2022Updated 3 years ago
- Hierarchical Graph Pooling with Structure Learning☆344Jul 12, 2021Updated 4 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆808Nov 6, 2022Updated 3 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
- Distance Encoding for GNN Design☆188Mar 20, 2021Updated 4 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Apr 27, 2020Updated 5 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Apr 24, 2024Updated last year
- ☆138Jul 9, 2023Updated 2 years ago
- IJCAI 2022- Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering☆20Apr 24, 2023Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Jun 12, 2025Updated 8 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆237Jul 23, 2023Updated 2 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆303May 12, 2023Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Aug 16, 2022Updated 3 years ago
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆89Mar 25, 2023Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,711Feb 2, 2024Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Dec 9, 2024Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,049Jul 29, 2023Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Dec 13, 2021Updated 4 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 4 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆276Mar 18, 2023Updated 2 years ago
- Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, IC…☆366Apr 9, 2023Updated 2 years ago
- Structural Deep Clustering Network☆289Jul 6, 2023Updated 2 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Apr 5, 2022Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Aug 4, 2023Updated 2 years ago
- ☆276Jun 22, 2022Updated 3 years ago
- ☆302Jul 17, 2022Updated 3 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Apr 7, 2023Updated 2 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism""☆10Apr 17, 2021Updated 4 years ago
- PyTorch Codes for Haar Graph Pooling☆11Feb 16, 2023Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆85Oct 7, 2022Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Mar 2, 2021Updated 4 years ago
- ☆62Oct 24, 2020Updated 5 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆252Aug 25, 2020Updated 5 years ago