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Aug 25, 2020 - Python
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relational-learning
Here are 15 public repositories matching this topic...
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
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
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Aug 26, 2020 - Python
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
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Feb 11, 2020 - Python
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
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Nov 15, 2017 - Java
Deep relational learning through differentiable logic programming.
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Aug 28, 2020 - Java
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
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Sep 16, 2020 - Java
A largely incomplete but hopefully useful list of links to datasets for relational learning and inductive logic programming. No guarantees on availability.
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Oct 24, 2019
relational-learning
markov-logic-network
mln
relational-dependency-network
rdn
relational-reasoning
java-machine-learning
statistical-relational-learning
statistical-relational-ai
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Mar 18, 2020 - Java
Project repository for MA6040: Fuzzy Logic Connectives: Theory and Applications offered in Spring 2019
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Apr 24, 2019 - Python
Lossless Compression of Structured Convolutional Models via Lifting
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Jul 10, 2020 - Shell
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.
Beyond Graph Neural Networks with Lifted Relational Neural Networks
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Jul 10, 2020 - Shell
Computes contingency tables for relational databases, i.e. counts across tables
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Mar 11, 2018
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.
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Apr 24, 2019 - Python
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The current
setup.pyinstall_requires=argument includesgraphvizas a dependency.This should be factored out as a required dependency, similar to how
scikit-learndoes not require this package, but it's needed for some model visualization directives.