🤖 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)

Source code for WWW23 "Unsupervised Entity Alignment for Temporal Knowledge Graphs".

Data ingest application for Monarch Initiative knowledge graph using Koza

Framework to build linked spatio-temporal data from vectorized evolutionary topographic map archives

The implementation for "DEER: Descriptive Knowledge Graph for Explaining Entity Relationships" (EMNLP '22)

📐 Results for the Ranking Metrics submission @ GLB 2022

Deep Learning on Academic Knowledge Graphs

In- and post- process methods for optimizing explanations path based on newly defined quantitative explanation metrics

Source code for KDD22 ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

Is Comples Query Answering Complex?

Neuro-symbolic anomaly detection and complex fault diagnosis exemplified in the automotive domain.

Practical exercises for Question Answering and Chatbots course in Anhalt University of Applied Sciences