Relational Learning Python Packages

neuralogic

PyNeuraLogic lets you use Python to create Differentiable Logic Programs.

getml

Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.

ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

srlearn

☕ A Python library for gradient-boosted statistical relational models / learning probabilistic relational programs.

relational-datasets

Python package for fetching and using srlearn-compatible relational datasets.

wlplan

Relational Features for Planning

redelex

ReDeLEx is a Python framework for developing and evaluating RDL models on relational databases via RelBench and CTU datasets.

ctu-relational

CTU Relational: SQL Database Datasets for Machine Learning

boostsrl

Python wrappers for using BoostSRL jar files.

rfgb

Relational Functional Gradient Boosting in Python.

grakn-kglib

TypeDB-ML is the Machine Learning integrations library for TypeDB

predql

PredQL is a Python framework for task generation in Relational Deep Learning. It provides a predictive query language to simplify task generation when working with complex static/temporal relational data.

typedb-ml

TypeDB-ML is the Machine Learning integrations library for TypeDB