tvayer / PSCNLinks
A python implementation of Patchy-San Convolutional Network for Graph
☆41Updated 4 years ago
Alternatives and similar repositories for PSCN
Users that are interested in PSCN are comparing it to the libraries listed below
Sorting:
- ☆137Updated 5 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 6 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆195Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 11 months ago
- Dual Graph Convolution Networks☆96Updated 6 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated 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".☆178Updated 7 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Multi-Graph Convolutional Neural Networks☆255Updated 7 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago
- tensorflow-as-gcn☆90Updated 5 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆118Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).☆38Updated 6 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
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers☆33Updated 6 years ago