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.
1k stars
29 watching
195 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 graph neural networks applied to life science domains | 728 |
derwenai/kglab | An abstraction layer in Python for building knowledge graphs using popular graph libraries. | 581 |
pykeen/pykeen | A Python library for learning and evaluating knowledge graph embeddings | 1,685 |
mnick/holographic-embeddings | A repository providing code for experiments with knowledge graph embeddings. | 173 |
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 | 2,154 |
gnn4dr/drkg | A comprehensive knowledge graph about drugs and their interactions with genes, diseases, compounds, and biological processes. | 590 |
morph-kgc/morph-kgc | Generates RDF knowledge graphs from diverse data sources using standardized mapping languages and optimized algorithms | 191 |
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. | 1,088 |
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 | 320 |
google-deepmind/jraph | A lightweight library for working with graph neural networks in jax. | 1,375 |
datake/adagcn | An implementation of a graph neural network technique to improve deep models | 60 |
benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 73 |
pelhans/z_knowledge_graph | A comprehensive framework for building and managing a Chinese knowledge graph from scratch. | 755 |