hechtlinger / graph_cnnLinks
Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"
☆51Updated 8 years ago
Alternatives and similar repositories for graph_cnn
Users that are interested in graph_cnn are comparing it to the libraries listed below
Sorting:
- Graph Capsule Convolutional Neural Networks☆36Updated 5 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
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆47Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).☆24Updated 5 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2016.☆98Updated 5 years ago
- Source Code of GraRep☆52Updated 7 years ago
- Keras implementation of Structural Deep Network Embedding, KDD 2016☆92Updated 7 years ago
- Implementation of https://arxiv.org/abs/1703.00792.☆46Updated 7 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Max-margin DeepWalk☆71Updated 8 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Source Code of DNGR☆42Updated 8 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Updated 5 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Graph convolutional recurrent neural network☆179Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- Learning graph representations using autoencoder☆51Updated 8 years ago
- Determinantal point process☆19Updated 9 years ago
- Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"☆80Updated 5 years ago
- Implementations of label propagation like algorithms☆82Updated 8 years ago
- Collection of graph neural networks in pytorch☆50Updated 7 years ago