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relational-learning

Here are 20 public repositories matching this topic...

Accenture / AmpliGraph

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

machine-learning knowledge-graph representation-learning relational-learning graph-embeddings knowledge-graph-embeddings graph-representation-learning

Updated May 25, 2021
Python

vaticle / kglib

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Grakn Knowledge Graph Library (ML R&D)

python machine-learning ai neural-network graph tensorflow graphs ml artificial-intelligence knowledge-graph knowledgebase knowledge-graph-completion relational-learning link-prediction graph-convolutional-networks grakn graql geometric-deep-learning graph-networks

Updated May 31, 2021
Python

Mehran-k / SimplE

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SimplE Embedding for Link Prediction in Knowledge Graphs

tensorflow knowledge-graph knowledgebase tensor-factorization knowledge-base knowledge-graph-completion relational-learning link-prediction knowledge-base-completion knowledge-graph-embeddings statistical-relational-learning starai

Updated Feb 11, 2020
Python

srlearn

srlearn / srlearn

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☕ A Python library for gradient-boosted statistical relational models.

relational-learning relational-dependency-network rdn relational-reasoning statistical-relational-learning starai statistical-relational-ai

Updated Aug 16, 2021
Python

Mehran-k / RelNN

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RelNN is a novel first-order deep neural model for relational learning.

deep-learning relational-learning markov-logic-network neuro-symbolic-learning deep-relational-learning relational-logistic-regression

Updated Nov 15, 2017
Java

GustikS / NeuraLogic

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Deep relational learning through differentiable logic programming.

machine-learning deep-learning logic-programming relational-learning differentiable-programming

Updated Jul 15, 2021
Java

joschout / RelationalDatasets

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A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantees on availability.

relational-learning inductive-logic-programming machine-learning-datasets

Updated Oct 24, 2019

sfu-cl-lab / FactorBase

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The source code repository for the FactorBase system

bayesian-network mysql-database relational-databases relational-database factor-graphs bayesian-networks structure-learning log-linear-model relational-learning big-model markov-logic-network mln relational-dependency-network rdn bif

Updated Jun 10, 2021
Java

srlearn / datasets

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srlearn-compatible relational datasets

datasets relational-learning inductive-logic-programming statistical-relational-learning

Updated Aug 7, 2021
Shell

LukasZahradnik / PyNeuraLogic

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PyNeuraLogic is a framework built on top of NeuraLogic which combines relational and deep learning.

machine-learning deep-learning relational-learning graph-neural-networks

Updated Aug 15, 2021
Python

vishwakftw / Graded-Relations-From-Data

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Project repository for MA6040: Fuzzy Logic Connectives: Theory and Applications offered in Spring 2019

machine-learning fuzzy-logic relational-learning

Updated Apr 24, 2019
Python

GustikS / NeuraLifting

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Lossless Compression of Structured Convolutional Models via Lifting

deep-learning convolutional-networks relational-learning lifted-inference

Updated Jul 10, 2020
Shell

srlearn / relational-datasets

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

datasets relational-learning inductive-logic-programming statistical-relational-learning

Updated Aug 21, 2021
Python

srlearn / RelationalDatasets.jl

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

datasets relational-learning inductive-logic-programming statistical-relational-learning

Updated Aug 21, 2021
Julia

hayesall / rfgb

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Open

Unit Tests for saving and loading models

hayesall commented Jul 23, 2018

Pull Request #6 includes the ability for models to be saved and loaded from json files (rfgb.rdn.learn). Currently there are no unit tests for this functionality though.

At a minimum, a unit test might check whether the files are created. Then they might also test whether the contents of the json files are the same as the parameters input during inference.

Read more

enhancement good first issue

GustikS / GNNwLRNNs

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Beyond Graph Neural Networks with Lifted Relational Neural Networks

deep-learning relational-learning lifted-inference graph-neural-networks

Updated Jul 10, 2020
Shell

srlearn / linter

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A grammar and linter for ILP datasets.

golang parser relational-learning inductive-logic-programming

Updated Aug 6, 2021
Go

sfu-cl-lab / relational-contingency-table

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Computes contingency tables for relational databases, i.e. counts across tables

relational-databases relational-learning sufficient-statistics fast-mobius-transform

Updated Mar 11, 2018

sukrutrao / Graded-Relations-From-Data

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Implementation of the framework in the paper: Waegeman, W., Pahikkala, T., Airola, A., Salakoski, T., Stock, M., & De Baets, B. (2012). A kernel-based framework for learning graded relations from data. IEEE Transactions on Fuzzy Systems, 20(6), 1090-1101.

python machine-learning fuzzy-logic relational-learning

Updated Apr 24, 2019
Python

hogunpark / TSGNET

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Pytorch implementation of TSGNet

machine-learning relational-learning

Updated Jan 6, 2021
Python

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