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complex-nne_aer

Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)

cqd

Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs

drum

DRUM end to end differentiable rule mining on knowledge graphs

expressgnn

gekcs

How to Turn Your Knowledge Graph Embeddings into Generative Models

graphqembed

Learning to query complex networks

itere

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. (WWW'19)

joie-kdd19

Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts" published in KDD'2019.

kale

Code used for paper 'Jointly Embedding Knowledge Graphs and Logical Rules' by Guo et al. 2016

kg-deductive-reasoner

knowledge graph deductive reasoning using memory networks

low-rank-logic

Code for Injecting Logical Background Knowledge into Embeddings for Relation Extraction

lprules

Rule Induction in Knowledge Graphs Using Linear Programming

minerva

(Path-based) Meandering In Networks of Entities to Reach Verisimilar Answers

neural-lp

Differentiable Learning of Logical Rules for Knowledge Base Reasoning

ns-kgc-aug

pgat

plogicnet

polo

qlogice

This source code is for our paper.

reasonkge

This is the public repo of the code from ReasonKGE

reonto-relation-extraction

ReOnto is a neuro-symbolic approach where we use ontologies and GNNs to extract relations from sentences.

rnnlogic

ruge

rules

Rule Learning with Embedding Support

simple-plus

Datasets used in paper "improved knowledge graph embedding using background taxonomic information"

slre

tflex

[NeurIPS 2023] TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph

uniker

The official Pytorch implementation of "UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference"

walking-rdf-and-owl

Feature learning over RDF data and OWL ontologies