alge24 / eigenpooling
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
- ☆29Updated 4 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- ☆95Updated 3 years ago
- ☆76Updated 3 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months ago
- ☆131Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆192Updated 4 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆77Updated 3 years ago
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆63Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆101Updated 2 years ago
- ☆52Updated 5 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆38Updated 5 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 9 months ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆31Updated 6 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Graph Learning Convolution Network☆38Updated last year
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆132Updated 2 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆68Updated last year
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 3 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆64Updated last year
- an implementation of FastGCN with pytorch☆48Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Graph Cross Network☆48Updated 4 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year