danielegrattarola / decimation-pooling
Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).
☆22Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for decimation-pooling
- ☆62Updated 4 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- ☆35Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆49Updated 3 years ago
- Graph Cross Network☆48Updated 4 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆58Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆29Updated last year
- The official implementation of the SGCN architecture.☆61Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆71Updated 5 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆57Updated 2 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆34Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆30Updated 2 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆99Updated 4 years ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆37Updated 3 years ago
- This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆47Updated last year
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆101Updated 2 years ago
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Updated 2 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- ☆17Updated 3 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 3 months ago
- ☆17Updated 11 months ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆47Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆50Updated last year
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆21Updated 2 years ago
- ☆26Updated 3 years ago
- Sparse graph attention☆17Updated 6 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆40Updated 2 years ago