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
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆202Updated 4 years ago
- ☆53Updated 5 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 6 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- ☆97Updated 4 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆263Updated 2 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- ☆29Updated 4 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆177Updated 7 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆158Updated 2 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆245Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆58Updated 4 years ago
- Graph Learning Convolution Network☆39Updated 2 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 5 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- ☆135Updated 2 years ago
- Graph Cross Network☆48Updated 4 years ago
- Dual Graph Convolution Networks☆95Updated 6 years ago
- A pytorch implemention of GCN-GAN for temporal link prediction.☆105Updated 5 years ago
- ☆111Updated 4 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆230Updated last year
- ☆77Updated 4 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year