The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected

Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍

A `Neural = Symbolic` framework for sound and complete weighted real-value logic

OriginTrail Decentralized Knowledge Graph network node

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"

Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games

Holographic Reduced Representations

NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment

Demo for Neuro-Symbolic Agent (LOA)

Normalizing flows for neuro-symbolic AI

Sem@K: Is my knowledge graph embedding model semantic-aware?

official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"

Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.

A neural network model builder, leveraging a neuro-symbolic interface.

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

PyEDCR is a package providing error detecting and corrective rules into Python. Given a model, PyEDCR's goal is to recognize when it is incorrect based on a set of conditions and then correct the incorrect prediction.

Official website for the "A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts" benchmark paper

The official repository for the PSYCHIC model

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