alge24 / eigenpoolingLinks
An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
☆49Updated 5 years ago
Alternatives and similar repositories for eigenpooling
Users that are interested in eigenpooling are comparing it to the libraries listed below
Sorting:
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆57Updated 4 years ago
- ☆29Updated 4 years ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆200Updated 4 years ago
- ☆76Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 5 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Graph Learning Convolution Network☆39Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- ☆135Updated last year
- ☆53Updated 5 years ago
- ☆97Updated 4 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆80Updated 4 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 5 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆80Updated 5 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 2 months ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Dual Attention Graph Convolutional Network☆89Updated 4 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆103Updated last week
- an implementation of FastGCN with pytorch☆51Updated 4 years ago
- ☆62Updated 4 years ago
- Dual Graph Convolution Networks☆95Updated 6 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- Graph Cross Network☆48Updated 4 years ago