danielegrattarola / decimation-poolingLinks
Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).
☆23Updated 4 years ago
Alternatives and similar repositories for decimation-pooling
Users that are interested in decimation-pooling are comparing it to the libraries listed below
Sorting:
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆38Updated 4 years ago
- ☆62Updated 5 years ago
- Random Walk Graph Neural Networks☆54Updated 4 years ago
- The official implementation of the SGCN architecture.☆63Updated 3 years ago
- Graph Cross Network☆47Updated 5 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆111Updated 4 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆57Updated 2 years ago
- The official PyTorch implementation of the CVPR2020 paper "GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representa…☆57Updated 4 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆39Updated 4 years ago
- A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"☆65Updated 2 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago
- ☆30Updated 2 years ago
- HGCAE Pytorch implementation. CVPR2021 accepted.☆44Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 6 years ago
- ☆35Updated 6 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- informal exposition of Weisfeiler-Leman similarity☆28Updated 4 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 3 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks☆31Updated 3 years ago
- ☆15Updated 4 years ago
- Sparse graph attention☆17Updated 7 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- Dual Attention Graph Convolutional Network☆90Updated 4 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 4 years ago