Code for "ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition" (LREC-COLING 2024)

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

Enhancing reasoning capabilities of LLMs by fine-tuning based algorithm using Symbolic AI feedback component

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

Scene Graph Generation in Autonomous Driving: a neuro-symbolic approach

Codebase for the paper "Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings"

Github repository for the assignments of course COL775: Deep Learning at IIT Delhi (Spring-23). Course Instructor: Prof. Parag Singla

Arquivos da Implementação do método de Aprendizagem Relacional no paradigma de Sistemas Neuro-Simbólicos.

python package for fast solver-free training of neural ILP architectures

The official repository for the PSYCHIC model

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

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.

Normalizing flows for neuro-symbolic AI

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

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

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"

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

Lattice-preserving ALC ontology embeddings