AmpliGraph
Concept Linker
A Python library for training models on knowledge graphs to predict links between concepts
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
2k stars
67 watching
250 forks
Language: Python
last commit: 4 months ago
Linked from 2 awesome lists
graph-embeddingsgraph-representation-learningknowledge-graphknowledge-graph-embeddingsmachine-learningrelational-learningrepresentation-learning
chihming/awesome-network-embedding
semantalytics/awesome-semantic-webRelated projects:
| Repository | Description | Stars |
|---|---|---|
 pykeen/pykeen | A Python library for learning and evaluating knowledge graph embeddings | 1,708 |
 derwenai/kglab | An abstraction layer in Python for building knowledge graphs using popular graph libraries. | 592 |
 timdettmers/conve | A library providing a Convolutional 2D Knowledge Graph Embeddings model for reasoning and prediction tasks | 674 |
 awslabs/dgl-ke | A package for learning large-scale knowledge graph embeddings with high performance and scalability | 1,277 |
 mnick/holographic-embeddings | A repository providing code for experiments with knowledge graph embeddings. | 172 |
 zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |
 claws-lab/jodie | A PyTorch implementation of a representation learning framework for dynamic temporal networks | 362 |
 benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 74 |
| benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
 ibalazevic/hyper | Implementing knowledge graph embeddings using hypernetworks in PyTorch. | 53 |
 vuptran/graph-representation-learning | A deep learning framework for graph autoencoder-based link prediction and node classification tasks | 254 |
 morph-kgc/morph-kgc | Generates RDF knowledge graphs from diverse data sources using standardized mapping languages and optimized algorithms | 195 |
 thunlp/ernie | A toolkit for fine-tuning pre-trained language models with knowledge graph representations to improve performance on entity typing and relation classification tasks. | 1,413 |
 deepgraphlearning/recommendersystems | A comprehensive library of algorithms and techniques for building recommender systems | 1,102 |
 kornai/4lang | A software toolkit for creating concept graphs from text and dictionaries | 37 |