Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
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Updated
Apr 25, 2024 - Python
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
🤖 A Python library for learning and evaluating knowledge graph embeddings
A knowledge graph and a set of tools for drug repurposing
A curated list of awesome knowledge graph tutorials, projects and communities.
Implementations of Embedding-based methods for Knowledge Base Completion tasks
[Tool] For Knowledge Graph Representation Learning
Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
Implementation of TransE model in PyTorch.
SimplE Embedding for Link Prediction in Knowledge Graphs
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia
AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
Source code and datasets of EMNLP2018 paper: "Differentiating Concepts and Instances for Knowledge Graph Embedding".
A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods
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