63 repositorios
Awesome GitHub RepositoriesEmbedding Algorithms
Methods for learning vector representations of nodes, edges, and entire graphs.
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Awesome Embedding Algorithms GitHub Repositories
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- facebookresearch/starspace
facebookresearch/Starspace
3,954Ver en GitHubStarspace es un framework de vector embedding diseñado para entrenar representaciones de alta dimensión de texto e imágenes. Funciona como un sistema de aprendizaje automático para ranking neuronal, clasificación de texto y embedding de grafos de conocimiento, mapeando diferentes tipos de objetos en un espacio numérico compartido para facilitar tareas de recuperación y predicción. El sistema incluye herramientas especializadas para la finalización de grafos de conocimiento y predicción de enlaces representando entidades y sus relaciones dentro de un espacio vectorial multirelacional. Además, proporciona capacidades para la recomendación de contenido semántico y clasificación de texto a gran escala mapeando entradas a etiquetas objetivo o elementos candidatos. El framework cubre áreas de capacidad amplias, incluyendo ranking de entidades basado en similitud, extracción de vector embedding de documentos o n-gramas, y el uso de entrenamiento basado en caminatas aleatorias (random-walk). Para gestionar grandes datasets, incorpora carga de datos comprimidos basada en disco y optimización de muestreo negativo.
General-purpose embedding framework for various data types.
C++ - facebookresearch/pytorch-biggraph
facebookresearch/PyTorch-BigGraph
3,458Ver en GitHubGenerate embeddings from large-scale graph-structured data.
Distributed system for learning embeddings on massive graphs.
Python - phanein/deepwalk
phanein/deepwalk
2,757Ver en GitHubDeepWalk - Deep Learning for Graphs
Online learning of social representations using random walks.
Python - aditya-grover/node2vec
aditya-grover/node2vec
2,732Ver en GitHubThis repository provides a reference implementation of node2vec as described in the paper:
Scalable feature learning for networks using random walks.
Scala - benedekrozemberczki/karateclub
benedekrozemberczki/karateclub
2,284Ver en GitHubKarate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Comprehensive library of graph embedding and community detection algorithms.
Python - facebookresearch/poincare-embeddings
facebookresearch/poincare-embeddings
1,755Ver en GitHubPyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Learning hierarchical representations using Poincaré embeddings.
Python - palash1992/gem
palash1992/GEM
1,288Ver en GitHubCollection of graph embedding techniques and performance benchmarks.
Pythongraph-embeddinggraph-embeddingslink-prediction - tangjianpku/line
tangjianpku/LINE
1,056Ver en GitHubLINE: Large-scale information network embedding
Large-scale information network embedding algorithm.
C++ - kimiyoung/planetoid
kimiyoung/planetoid
Semi-supervised learning with graph embeddings
Semi-supervised learning framework using graph embeddings.
Python - benedekrozemberczki/graph2vec
benedekrozemberczki/graph2vec
Learning distributed representations of entire graphs.
Pythondeepwalkdiff2vecgemsec - marinkaz/decagon
marinkaz/decagon
Graph convolutional neural network for multirelational link prediction
Graph neural network for multi-relational link prediction.
Jupyter Notebook - srijankr/jodie
srijankr/jodie
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Predicting dynamic embedding trajectories in temporal interaction networks.
Python - hazyresearch/hyperbolics
HazyResearch/hyperbolics
Hyperbolic Embeddings
Representation learning using hyperbolic geometry for graph data.
Python - leoribeiro/struc2vec
leoribeiro/struc2vec
This repository provides a reference implementation of struc2vec.
Learning node representations based on structural identity.
Python - benedekrozemberczki/attentionwalk
benedekrozemberczki/AttentionWalk
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Learning node embeddings via graph attention mechanisms.
Python - benedekrozemberczki/sgcn
benedekrozemberczki/SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Graph convolutional network designed for signed graphs.
Python - benedekrozemberczki/gemsec
benedekrozemberczki/GEMSEC
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Graph embedding framework with integrated self-clustering.
Python - vuptran/graph-representation-learning
vuptran/graph-representation-learning
DSAA 2018 Autoencoders for Link Prediction and Semi-Supervised Node Classification
Autoencoder-based approach for graph prediction tasks.
Python - clhchtcjj/bine
clhchtcjj/BiNE
BiNE: Bipartite Network Embedding
Embedding framework specifically for bipartite network structures.
Python - benedekrozemberczki/splitter
benedekrozemberczki/Splitter
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Learning node representations that capture multiple social contexts.
Python
