jbcdnr / gretel-path-extrapolationLinks
Implementation for the paper "Extrapolating paths with graph neural networks"
☆36Updated 5 years ago
Alternatives and similar repositories for gretel-path-extrapolation
Users that are interested in gretel-path-extrapolation are comparing it to the libraries listed below
Sorting:
- Graph convolutional recurrent neural network☆181Updated 7 years ago
- A curated list of awesome graph representation learning.☆69Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆187Updated 2 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆80Updated 8 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Updated 5 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆134Updated 4 years ago
- Official implementation of Temporal-Guided Networks☆48Updated 5 years ago
- ☆172Updated 5 years ago
- Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data☆46Updated 6 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆326Updated 2 years ago
- Spatio-Temporal Graph Convolutional Networks☆109Updated 6 years ago
- Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)☆26Updated 6 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", [1] in Pytorch☆37Updated 7 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆195Updated 4 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆123Updated 6 years ago
- A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).☆207Updated 2 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆275Updated 2 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆210Updated 2 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 6 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 5 months ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- ☆217Updated 5 years ago
- Implements the bigCLAM algorithm☆51Updated 5 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆161Updated 5 years ago
- Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning☆103Updated 3 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago