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
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
Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)
[NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models
Keras implementation of path-based link prediction model for knowledge graph completion
Source code and datasets for EMNLP 2019 paper: Jointly Learning Entity and Relation Representations for Entity Alignment.
[AAAI 2022] TempoQR: Temporal Question Reasoning over Knowledge Graphs
[Paper][Preprint 2023] Making Large Language Models Perform Better in Knowledge Graph Completion
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