graph-pattern-learner
Pattern learner
An algorithm to learn patterns from human associations in the form of SPARQL queries
Evolutionary Graph Pattern Learner that learns SPARQL queries for a given set of source-target-pairs from an endpoint.
85 stars
14 watching
15 forks
Language: Python
last commit: over 3 years agoLinked from 1 awesome list
algorithmassociationsdata-miningembeddingsend-to-end-learninggraph-algorithmsgraph-pattern-learnergraph-querieshuman-associationsknowledge-graphknowledge-mininglearnerslinked-datamachine-learningpattern-learningpredictionrdfsemantic-websparql
semantalytics/awesome-semantic-webRelated projects:
| Repository | Description | Stars |
|---|---|---|
 zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |
 benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
 snash4/gat2vec | A framework for learning representations from attributed graphs, incorporating structural and attribute information. | 59 |
| benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 74 |
 supriya-gdptl/stwalk | An implementation of an algorithm for learning trajectory representations in temporal graphs | 18 |
 rasbt/pattern_classification | A comprehensive resource for learning and understanding machine learning and pattern classification tasks | 4,151 |
 deepgraphlearning/gmnn | A software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning. | 403 |
 predict-idlab/gendis | An algorithm to discover small, discriminative patterns in time series data for classification tasks | 104 |
| deepgraphlearning/recommendersystems | A comprehensive library of algorithms and techniques for building recommender systems | 1,102 |
| benedekrozemberczki/gam | An implementation of a graph classification model using structural attention and PyTorch | 270 |
| rdflib/rdflib | A Python library for working with RDF data and querying semantic web resources | 2,189 |
 smartdataanalytics/rdfprocessingtoolkit | A command-line tool for executing and combining SPARQL queries on RDF data in various formats | 40 |
| benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 209 |
 fedml-ai/spreadgnn | A framework for decentralized multi-task learning of graph neural networks on molecular data with guaranteed convergence | 44 |
| benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |