fmonti / mgcnnLinks
Multi-Graph Convolutional Neural Networks
☆256Updated 7 years ago
Alternatives and similar repositories for mgcnn
Users that are interested in mgcnn are comparing it to the libraries listed below
Sorting:
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆254Updated 6 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".☆178Updated 7 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Updated 4 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 4 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆143Updated 7 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- ☆137Updated 5 years ago
- tensorflow-as-gcn☆89Updated 6 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 11 months ago
- Position-aware Graph Neural Networks☆399Updated 5 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆199Updated last year
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆538Updated 6 years ago
- A TensorFlow implementation of Graph Wavelet Neural Network☆65Updated 6 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73Updated 7 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 7 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆487Updated 7 years ago
- Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction☆54Updated 7 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆143Updated 6 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆178Updated 2 years ago
- Graph convolutional recurrent neural network☆182Updated 7 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆336Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆123Updated last year
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆162Updated 6 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)☆161Updated last year