vermaMachineLearning / keras-deep-graph-learning
Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
☆103Updated 2 years ago
Related projects: ⓘ
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 3 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆133Updated 5 years ago
- Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)☆252Updated 5 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 2 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆280Updated 3 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆186Updated 2 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆86Updated 4 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Updated 4 years ago
- Graph convolutional layers☆62Updated 2 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆82Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆90Updated 5 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Graph convolutional recurrent neural network☆179Updated 6 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆190Updated 6 months ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆266Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆122Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆324Updated 3 years ago
- Sample code for Constrained Graph Variational Autoencoders☆229Updated last year
- Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…☆117Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆97Updated 4 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆173Updated last year
- ☆410Updated 5 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆60Updated 3 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆172Updated 6 years ago
- Code for Graphite iterative graph generation☆56Updated 5 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆154Updated 5 years ago
- a numpy implementation of Graph Convolutional Networks☆27Updated 5 years ago
- ☆42Updated last year
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆180Updated 2 years ago