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#

graph-embeddings

Here are 62 public repositories matching this topic...

A curated list of network embedding techniques.

  • UpdatedDec 8, 2020

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

  • UpdatedJun 10, 2021
  • Python

Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings

  • UpdatedAug 27, 2019
  • Jupyter Notebook
sympa

Terraphim AI: deterministic AI Assistant

  • UpdatedOct 12, 2025
  • Rust
watset-java

Implement the node2vec algorithm using Python

  • UpdatedMar 11, 2022
  • Python

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

  • UpdatedAug 24, 2021
  • Python

The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.

  • UpdatedMar 24, 2023
  • Python
gyrospd

GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices

  • UpdatedNov 8, 2021
  • Python

GitHub repositories and users recommendations by embeddings

  • UpdatedNov 21, 2022
  • Jupyter Notebook

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

  • UpdatedApr 8, 2024
  • Python

Vectorizing knowledge bases for entity linking

  • UpdatedFeb 21, 2021
  • Python

An implementation of vdist2vec model in paper A Learning Based Approach to Predict Shortest-Path Distances

  • UpdatedApr 8, 2022
  • Python

Julia package to Compare Graph Embeddings

  • UpdatedApr 8, 2024
  • Julia

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