Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
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Updated
Sep 9, 2024 - JavaScript
Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
OriginTrail Decentralized Knowledge Graph network node
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
Normalizing flows for neuro-symbolic AI
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.
Holographic Reduced Representations
Official website for the "rsbench: A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts" benchmark paper
Arquivos da Implementação do método de Aprendizagem Relacional no paradigma de Sistemas Neuro-Simbólicos.
ReOnto is a neuro-symbolic approach where we use ontologies and GNNs to extract relations from sentences.
Code for "ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition" (LREC-COLING 2024)
Category-theoretic representation of ALC theories
Neuro-symbolic anomaly detection and complex fault diagnosis exemplified in the automotive domain.
Scene Graph Generation in Autonomous Driving: a neuro-symbolic approach
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"
NeuSyRE: A Neuro-Symbolic Visual Understanding and Reasoning Framework based on Scene Graph Enrichment
Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
A `Neural = Symbolic` framework for sound and complete weighted real-value logic
Codebase for the paper "Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings"
The official repository for the PSYCHIC model
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