🤖 A Python library for learning and evaluating knowledge graph embeddings

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

SimplE Embedding for Link Prediction in Knowledge Graphs

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

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

STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)

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

Paper list for knowledge hypergraph

Some papers on knowledge graph embedding

HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion

🌮 Table-based KB Completer

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

Source code & appendices accompanying the AAAI2022 paper "Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias"

Knowledge Base Completion for Long-Tail Entities

Meta-learning in Knowledge Base completion

Code for project on reasoning over multiple paths

Implementation of a learning and fragment-based rule inference engine -- M. Svatoš, S. Schockaert, J. Davis, and O. Kuželka: STRiKE: Rule-driven relational learning using stratified k-entailment, ECAI'20