Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: relational-learning

Accenture/AmpliGraph

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

Language: Python - Size: 30.4 MB - Last synced: 1 day ago - Pushed: 21 days ago - Stars: 2,096 - Forks: 250

LukasZahradnik/PyNeuraLogic

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

Language: Python - Size: 28.7 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 269 - Forks: 17

GustikS/NeuraLogic

Deep relational learning through differentiable logic programming.

Language: Java - Size: 3.45 MB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 93 - Forks: 14

getml/getml-demo

Showcase notebooks for getML

Language: Jupyter Notebook - Size: 70.9 MB - Last synced: 13 days ago - Pushed: 24 days ago - Stars: 12 - Forks: 8

vaticle/typedb-ml 📦

TypeDB-ML is the Machine Learning integrations library for TypeDB

Language: Python - Size: 11 MB - Last synced: 2 days ago - Pushed: 6 months ago - Stars: 552 - Forks: 93

getml/getml-community

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

Language: C - Size: 13.1 MB - Last synced: 13 days ago - Pushed: about 2 months ago - Stars: 77 - Forks: 7

sfu-cl-lab/relational-contingency-table

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

Size: 1.95 KB - Last synced: about 2 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

sfu-cl-lab/FactorBase

The source code repository for the FactorBase system

Language: Java - Size: 208 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 9 - Forks: 6

srlearn/srlearn

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

Language: Python - Size: 10.7 MB - Last synced: 21 days ago - Pushed: over 1 year ago - Stars: 31 - Forks: 13

martinsvat/STRiKE

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

Language: Java - Size: 310 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

qitianwu/NodeFormer

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Language: Jupyter Notebook - Size: 353 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 255 - Forks: 25

AstraZeneca/awesome-drug-pair-scoring

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

Size: 1.47 MB - Last synced: about 1 month ago - Pushed: almost 2 years ago - Stars: 86 - Forks: 14

Wang-ML-Lab/GRDA

[ICLR 2022] Graph-Relational Domain Adaptation

Language: Python - Size: 7.09 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 41 - Forks: 6

Mehran-k/SimplE

SimplE Embedding for Link Prediction in Knowledge Graphs

Language: Python - Size: 8.42 MB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 141 - Forks: 35

abhrac/relational-proxies

Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.

Language: Python - Size: 540 KB - Last synced: 28 days ago - Pushed: about 2 months ago - Stars: 11 - Forks: 0

xiongbo010/NestE

PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning" (AAAI'24)

Language: Python - Size: 1.85 GB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 3 - Forks: 2

Mehran-k/RelNN

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

Language: Java - Size: 6.69 MB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 26 - Forks: 3

yisiyu95/R2FGC

[Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering

Language: Python - Size: 23.5 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 4 - Forks: 2

hayesall/rfgb

🐍🚧 Experimental tool for SRL learning in Python. For something more stable, see: https://github.com/srlearn/srlearn

Language: Python - Size: 331 KB - Last synced: 9 days ago - Pushed: almost 5 years ago - Stars: 3 - Forks: 3

ademkikaj/AutoRFE

A code base for Automated Relational Feature Engineering

Language: Python - Size: 2.35 MB - Last synced: 9 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

MeLLL-UFF/TransBoostler

Word embeddings for Transfer Learning using Relational Dependency Networks

Language: Prolog - Size: 137 MB - Last synced: 9 months ago - Pushed: 11 months ago - Stars: 1 - Forks: 0

srlearn/relational-datasets

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

Language: Python - Size: 2.28 MB - Last synced: 13 days ago - Pushed: over 1 year ago - Stars: 4 - Forks: 2

dodo47/SpikE

Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".

Language: Jupyter Notebook - Size: 1.28 MB - Last synced: 12 months ago - Pushed: about 1 year ago - Stars: 9 - Forks: 0

dodo47/cyberML

Machine learning on knowledge graphs for context-aware security monitoring (data and model)

Language: Jupyter Notebook - Size: 5.88 MB - Last synced: 12 months ago - Pushed: about 2 years ago - Stars: 6 - Forks: 2

vishwakftw/Graded-Relations-From-Data 📦

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

Language: Python - Size: 51.8 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 1 - Forks: 1

GustikS/GNNwLRNNs

Beyond Graph Neural Networks with Lifted Relational Neural Networks

Language: Shell - Size: 2.34 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 3 - Forks: 1

joschout/RelationalDatasets

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

Size: 2.93 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 19 - Forks: 3

lanl/pyDRESCALk

Distributed Non Negative RESCAL decomposition with estimation of latent features

Language: Python - Size: 6.51 MB - Last synced: 4 months ago - Pushed: 9 months ago - Stars: 2 - Forks: 4

srlearn/RelationalDatasets.jl

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

Language: Julia - Size: 233 KB - Last synced: 6 days ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

srlearn/datasets Fork of boost-starai/BoostSRL-Misc

srlearn-compatible relational datasets

Language: Shell - Size: 29.5 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

srlearn/linter

A grammar and linter for ILP datasets.

Language: Go - Size: 668 KB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

sukrutrao/Graded-Relations-From-Data Fork of vishwakftw/Graded-Relations-From-Data

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.

Language: Python - Size: 51.8 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

GustikS/NeuraLifting

Lossless Compression of Structured Convolutional Models via Lifting

Language: Shell - Size: 1.54 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

Related Keywords
relational-learning 33 machine-learning 12 deep-learning 7 knowledge-graph 6 inductive-logic-programming 6 statistical-relational-learning 6 graph-neural-networks 4 link-prediction 4 knowledge-graph-embeddings 3 datasets 3 knowledge-graph-completion 3 python 3 feature-engineering 3 fuzzy-logic 2 graphs 2 knowledgebase 2 ml 2 transfer-learning 2 tensorflow 2 markov-logic-network 2 graph-embedding 2 relational-databases 2 lifted-inference 2 rdn 2 knowledge-base-completion 2 relational-dependency-network 2 artificial-intelligence 2 ai 2 neurips-2022 2 pytorch 2 logic-programming 2 geometric-deep-learning 2 differentiable-programming 2 starai 2 graph-representation-learning 2 relational-logistic-regression 1 neuro-symbolic-learning 1 deep-relational-learning 1 deep-clustering 1 graph-clustering 1 self-supervised-learning 1 convolutional-networks 1 proxy-based-learning 1 neurips 1 fine-grained-visual-categorization 1 tensor-factorization 1 knowledge-base 1 statistical-machine-learning 1 graph-learning 1 game-theory 1 domain-adaptation 1 deep-learning-models 1 adversarial-learning 1 synergy-prediction 1 polypharmacy 1 graph-neural-network 1 gnn 1 parser 1 golang 1 unsupervised-learning 1 relational-model 1 relational-data 1 parallel-programming 1 nonnegative-tensor-decomposition 1 latent-variables 1 dynamic-networks 1 distributed-gpu 1 distributed-cpu 1 clustering-algorithm 1 machine-learning-datasets 1 knowledge-graph-embedding 1 industrial-automation 1 cybersecurity 1 symbolic-artificial-intelligence 1 symbolic-ai 1 spiking-neural-network 1 neuromorphic-computing 1 word-embeddings 1 relational-dependency-networks 1 subgraph-mining 1 knowledge-graphs 1 geometric-learning 1 mysql-database 1 mln 1 log-linear-model 1 factor-graphs 1 big-model 1 bif 1 bayesian-networks 1 bayesian-network 1 sufficient-statistics 1 fast-mobius-transform 1 python-library 1 predictive-modeling 1 mlops 1 feature-learning 1 data-science 1 neural-network 1 graql 1 graph-networks 1