dgl-ke

Knowledge graph embedding package

A package for learning large-scale knowledge graph embeddings with high performance and scalability

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

GitHub

1k stars
29 watching
196 forks
Language: Python
last commit: about 1 year ago
dglgraph-learningknowledge-graphknowledge-graphs-embeddingsmachine-learning

Related projects:

Repository Description Stars
awslabs/dgl-lifesci A Python package for applying deep learning on graphs to various life science applications. 734
derwenai/kglab An abstraction layer in Python for building knowledge graphs using popular graph libraries. 592
pykeen/pykeen A Python library for learning and evaluating knowledge graph embeddings 1,708
mnick/holographic-embeddings A repository providing code for experiments with knowledge graph embeddings. 172
ibalazevic/hyper Implementing knowledge graph embeddings using hypernetworks in PyTorch. 53
accenture/ampligraph A Python library for training models on knowledge graphs to predict links between concepts 2,162
gnn4dr/drkg A comprehensive knowledge graph about drugs and their interactions with genes, diseases, compounds, and biological processes. 596
morph-kgc/morph-kgc Generates RDF knowledge graphs from diverse data sources using standardized mapping languages and optimized algorithms 195
thumnlab/autogl An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. 1,094
timdettmers/conve A library providing a Convolutional 2D Knowledge Graph Embeddings model for reasoning and prediction tasks 674
benedekrozemberczki/attentionwalk An implementation of a deep learning algorithm to generate node embeddings in graphs 322
google-deepmind/jraph A lightweight library for working with graph neural networks in jax. 1,380
datake/adagcn An implementation of an AdaGCN model that adapts Graph Convolutional Networks to deep models for graph neural networks tasks. 60
benedekrozemberczki/tene A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. 74
pelhans/z_knowledge_graph A comprehensive framework for building and managing a Chinese knowledge graph from scratch. 757