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pyRDF2Vec 0.2.0
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@rememberYou rememberYou released this 20 Mar 10:40
0.2.0
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rememberYou Terencio Agozzino
GPG key ID: 208FCDBB98190562
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0.2.0 (2021-03-20)

🚀 Features

  • Add support for Python 3.9
  • Add the cache (default to cachetools.TTLCache(maxsize=1024, ttl=1200)) attribute to the KG class to significantly speed up the walks extraction through caching.
  • Add the is_update (default to False) hyper-parameter in the fit method of the Embedder and Word2Vec classes to update an existing vocabulary.
  • Add the literals (default to []) attribute in the KG class to support a basic literal extraction.
  • Add the mul_req (default to False) attribute to the KG class to speed up the extraction of walks and literals for remote Knowledge Graph by sending asynchronous requests.
  • Add the n_jobs (default to None) attribute to the Walker class to speed up the extraction of walks with multiprocessing.
  • Add the random_state (default to None) parameter for the Walker class to handle better random determinism with walking and sampling strategies.
  • Add the verbose (default to 0) attribute to the RDF2VecTransformer class to display useful debugging information and to measure the time of extraction, fit and generation of embeddings and literals.
  • Add the with_reverse (default to False) parameter for the Walker class to generate more walks and improve the accuracy with Word2Vec, by including the parents of the entities in the walks.
  • Add the possibility to do online learning of a model with the load and the save methods in the RDF2VecTransformer class.
  • Add the validators for class parameter attributes.

Added

  • Add the Connector generic class to simplify the implementation of new connectors.
  • Add the SPARQLConnector class to delegate the connection part to the SPARQL endpoint server.
  • Add the Vertex class in a slot to reduce RAM usage.
  • Add the WalkerNotSupported and SamplerNotSupported exceptions in the Walker and Sampler classes when a walking strategy and a sampling strategy is not supported.
  • Add the _cast_literals private method to the KG class to convert the raw literals of an entity according to their real types.
  • Add the _embeddings, _entities, _literals, and _walks, attributes in the RDF2VecTransformer class to be able to get all the embeddings, entities, literals, and walks after the online training of a model.
  • Add the _fill_hops private method in the KG class to fill the entity hops in cache when mul_req=True is provided for a remote Knowledge Graph.
  • Add the _get_hops private method in the KG class to get the hops of a vertex for a local Knowledge Graph.
  • Add the _is_support_remote (default to False) private attribute in the Walker and Sampler classes to restrict the use of walking and sampling strategies for some remote/local Knowledge Graph.
  • Add the _res2hops private method in the KG class to convert a JSON response from a SPARQL endpoint server to hops.
  • Add the add_walk method to the KG class to simplify the addition of walk in a Knowledge Graph.
  • Add the attr decorator for all classes.
  • Add the examples/online-training and examples/literals files to illustrate the use of online training and literals with pyRDF2Vec.
  • Add the fetch_hops method to the KG class to fetch to get the hops of a vertex on a remote Knowledge Graph.
  • Add the get_pliterals method to the KG class to gets the literals for an entity and a local KG based on a chain of predicates.
  • Add the get_walks method in the RDF2VecTransformer class to get the walks of a given entities in a Knowledge Graph.
  • Add the get_weights method in the Sampler class to get the hops weights.
  • Add the pyrdf2vec.typings file to contains the aliases of the most commonly used typing with mypy.

Fixed

  • Fix the get_weight method in the PageRankSampler to raise an error if the method is called before the fit method.
  • Fix the remove_edge method of the KG class to also remove the edge of a children for a parent node.
  • Fix the addition of predicate in memory for remote Knowledge Graphs.
  • Fix the initialization of the _counts dictionary with the PredFreqSampler and ObjPredFreqSampler classes.

Changed

  • Remove support for Python 3.6
  • Remove the _get_shops and _get_rhops functions in the KG class.
  • Remove the id attribute of the Vertex class.
  • Remove the print_walks method of the Walker class.
  • Remove the read_file method in the KG class.
  • Remove the visualise method in the KG class.
  • Replace the HalkWalker class by HALKWalker.
  • Replace the SPARQLWrapper library in favor of using requests for synchronous requests and aiohttp for asynchronous requests.
  • Replace the WeisfeilerLehmanWalker class by WLWalker.
  • Replaces the add_edge, add_vertex, and remove_edge methods in the KG class to return a boolean value indicating that the addition/removal of an edge/vertex has been performed.
  • Replace the depth parameter with max_depth for the Walker class.
  • Replace the extract_random_community_walks, extract_random_community_walks_bfs, and extract_random_community_walks_dfs methods in the CommunityWalker class by extract_walks, _bfs, and _dfs methods.
  • Replace the extract_random_walks, extract_random_walks_bfs, and extract_random_walks_dfs methods in the RandomWalker class by extract_walks, _bfs, and _dfs methods.
  • Replace the file_type attribute in the KG class by fmt.
  • Replace the get_inv_neighbors method in the KG class by a is_reverse (default to False) parameter in the get_neighbors method.
  • Replace the initialize method in the Sampler class by the use of @property.
  • Replace the is_remote parameter in the KG class for automatic link detection based on the http and https prefix.
  • Replace the last parameter with is_last_depth in the sample_neighbor method of the Sampler class.
  • Replace the label_predicates attribute in the KG class by skip_predicates and now use a set instead of a list.
  • Replace the pyrdf2vec.graphs.kg.Vertex class with pyrdf2vec.graphs.Vertex.
  • Replace the fit_transform and transform functions in the RDF2VecTransformer class to return a tuple containing the list of embeddings and literals.
  • Replace the default embedding technique in the RDF2VecTransformer class for Word2Vec.
  • Replace the default hyper-parameters of the Word2Vec class to size=500, min_count=0, and negative=20.
  • Replace the default list of walkers in the RDF2VecTransformer class to [RandomWalker(2)].
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