🤖 A Python library for learning and evaluating knowledge graph embeddings
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Updated
Aug 5, 2024 - Python
🤖 A Python library for learning and evaluating knowledge graph embeddings
Inductive relation prediction by subgraph reasoning, ICML'20
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (Pytorch and Tensorflow)
Schema and generated objects for biolink data model and upper ontology
scikit-fusion: Data fusion via collective latent factor models
Agents that build knowledge graphs and explore textual worlds by asking questions
Code & data accompanying the paper "Toward Subgraph Guided Knowledge Graph Question Generation with Graph Neural Networks"
Knowledge graph construction: Fast inserts into a Wikibase instance
📊 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)
Data ingest application for Monarch Initiative knowledge graph using Koza
Source code for WWW23 "Unsupervised Entity Alignment for Temporal Knowledge Graphs".
The implementation for "DEER: Descriptive Knowledge Graph for Explaining Entity Relationships" (EMNLP '22)
Framework to build linked spatio-temporal data from vectorized evolutionary topographic map archives
📐 Results for the Ranking Metrics submission @ GLB 2022
Deep Learning on Academic Knowledge Graphs
Source code for KDD22 ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities
In- and post- process methods for optimizing explanations path based on newly defined quantitative explanation metrics
Practical exercises for Question Answering and Chatbots course in Anhalt University of Applied Sciences
An implementation of the inductive knowledge graph embedding technique Parallel Universe TransE (puTransE) built upon the OpenKE framework.
walks mapping graphs running boomer
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