Neuro-Symbolic AI with Declarative Logic
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Updated
Jun 19, 2024 - JavaScript
Neuro-Symbolic AI with Declarative Logic
Official website for the "rsbench: A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts" benchmark paper
The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
Arquivos da Implementação do método de Aprendizagem Relacional no paradigma de Sistemas Neuro-Simbólicos.
Normalizing flows for neuro-symbolic AI
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
official repo for the NeurIPS 2022 paper "A Solver-Free Framework for Scalable Learning in Neural ILP Architectures"
A neural network model builder, leveraging a neuro-symbolic interface.
Sem@K: Is my knowledge graph embedding model semantic-aware?
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