PyNeuraLogic lets you use Python to create Differentiable Logic Programs
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Updated
Jun 1, 2024 - Python
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.
This is the project repo associated with the paper "Disentangling and Integrating Relational and Sensory Information in Transformer Architectures" by Awni Altabaa, John Lafferty
A package for generating Relational Features for PDDL Planning
Learning for planning architecture using both classical and deep learning methods.
Deep relational learning through differentiable logic programming.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Showcase notebooks for getML
[ICLR 2022] Graph-Relational Domain Adaptation
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
The source code repository for the FactorBase system
Implementation of a learning and fragment-based rule inference engine -- M. Svatoš, S. Schockaert, J. Davis, and O. Kuželka: STRiKE: Rule-driven relational learning using stratified k-entailment, ECAI'20
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning" (AAAI'24)
TypeDB-ML is the Machine Learning integrations library for TypeDB
[Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering
Distributed Non Negative RESCAL decomposition with estimation of latent features
Word embeddings for Transfer Learning using Relational Dependency Networks
A code base for Automated Relational Feature Engineering
Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
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