Firyuza / GraphSAGELinks
Graph Neural Networks
☆68Updated 5 years ago
Alternatives and similar repositories for GraphSAGE
Users that are interested in GraphSAGE are comparing it to the libraries listed below
Sorting:
- Learning from graph data using Keras☆64Updated 6 years ago
- ☆172Updated 5 years ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆275Updated 2 years ago
- All the code for a series of Medium articles on Approximate Nearest Neighbors☆45Updated 2 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆326Updated 2 years ago
- TensorFlow 2 library implementing Graph Neural Networks☆375Updated 2 years ago
- Node Embeddings in Dynamic Graphs☆57Updated 3 years ago
- A PyTorch Graph Neural Network Library☆375Updated 3 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 3 years ago
- Scalable Graph Neural Networks with Deep Graph Library☆151Updated 4 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- A curated list of awesome graph representation learning.☆69Updated 4 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
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- ☆34Updated 5 years ago
- A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).☆212Updated 2 years ago
- ☆41Updated 4 years ago
- A repo for holding example code☆157Updated 3 months ago
- rectorch is a pytorch-based framework for state-of-the-art top-N recommendation☆151Updated 4 years ago
- An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)☆134Updated 2 years ago
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).☆84Updated 2 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- The stream-learn is an open-source Python library for difficult data stream analysis.☆63Updated last week
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆210Updated 2 years ago
- A research library for automating experiments on Deep Graph Networks☆223Updated 3 weeks ago
- Tutorials about AutoML☆86Updated 3 years ago
- A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).☆167Updated 2 years ago
- A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).☆207Updated 2 years ago
- Large Scale Graphical Model☆24Updated 6 years ago