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Search results for python knowledge graph embeddings

knowledge-graph-embeddings x

33 search results found

Ampligraph ⭐ 1,963

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

Pykeen ⭐ 1,498

🤖 A Python library for learning and evaluating knowledge graph embeddings

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020

Neuralkg ⭐ 263

[Tool] For Knowledge Graph Representation Learning

Knowledge Graph Embeddings ⭐ 221

Implementations of Embedding-based methods for Knowledge Base Completion tasks

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)

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

Kge Hake ⭐ 105

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

SimplE Embedding for Link Prediction in Knowledge Graphs

Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding, ISWC 2017

Bootstrapping Entity Alignment with Knowledge Graph Embedding, IJCAI 2018

Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation, AAAI 2020

Gcn Align ⭐ 72

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

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

[Paper][Preprint 2023] Making Large Language Models Perform Better in Knowledge Graph Completion

Transe Pytorch ⭐ 63

Implementation of TransE model in PyTorch.

Multi-view Knowledge Graph Embedding for Entity Alignment, IJCAI 2019

Knowledge Base Embedding By Cooperative Knowledge Distillation

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

Source code and datasets for IJCAI 2019 paper: Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs.

Code for the NLPCC2023 paper "Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models"

Interacte ⭐ 33

AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions

Kgem In Drug Discovery ⭐ 26

Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)

QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)

Kge Dura ⭐ 24

The code of paper Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion. Zhanqiu Zhang, Jianyu Cai, Jie Wang. NeurIPS 2020.

Hgcn Je Jr ⭐ 22

Source code and datasets for EMNLP 2019 paper: Jointly Learning Entity and Relation Representations for Entity Alignment.

🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings

Benchmarking ⭐ 21

📊 Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework" (http://arxiv.org/abs/2006.13365)

Joint Multilingual Knowledge Graph Completion and Alignment (Findings of EMNLP 2022) (Pytorch)

Analyzekge ⭐ 19

Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion

Procrustes Kge ⭐ 18

Code for "Highly Efficient Knowledge Graph Embedding Learning with Closed-Form Orthogonal Procrustes Analysis" (NAACL 2021)

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion

A Python library for knowledge graph representation learning (graph embedding).

Cnn Lstm For Link Prediction ⭐ 16

Keras implementation of path-based link prediction model for knowledge graph completion

Transedge ⭐ 14

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019

🤖 A Python Package for generating new patient representations driven by data and prior knowledge

Semantic Lossfunc ⭐ 13

Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

Some papers on Temporal Knowledge Graph Embedding and Reasoning

Meim Kge ⭐ 12

Including W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, MEI, MEIM. Paper: MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction (IJCAI 2022).

Versatile Embeddings ⭐ 11

Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE

Symmetry Learning Kgc ⭐ 10

Python implementation of "Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion [Manabe+. 2018]"

LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)

Recommendation System Based On Knowledge Graph Embedding ⭐ 10

Recommendation system based on knowledge graph embedding

Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion

Reproduceing the models of Knowledge Representation Learning (KRL), such as TransE, TransH etc.

Deeppathwithtensorforce ⭐ 8

DeepPath - A Deep Reinforcement Learning Method for Knowledge Graph Reasoning using TensorForce

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

Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding @ ACL'21

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