Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

🤖 A Python library for learning and evaluating knowledge graph embeddings

[Tool] For Knowledge Graph Representation Learning

Implementations of Embedding-based methods for Knowledge Base Completion tasks

The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. AAAI 2020.

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)

[Paper][ACM MM 2024] Making Large Language Models Perform Better in Knowledge Graph Completion

CoDEx: A set of knowledge graph Completion Datasets Extracted from Wikidata and Wikipedia

Implementation of TransE model in PyTorch.

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

SimplE Embedding for Link Prediction in Knowledge Graphs

Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

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)

Knowledge Base Embedding By Cooperative Knowledge Distillation

Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)

CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. ACL 2022

[NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models