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changelog.txt
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# `kglab` changelog
## 0.3.1
2021-04-??
* add multifile support for `load_jsonld()`; kudos @Ankush-Chander
* warning about NumPy/TensorFlow version conflicts; kudos @CatChenal
* roll back NumPy requirement to >= 1.19.2
* documenting notes about how to handle "PEP 517" errors
* add multifile support for `load_parquet()`; kudos @Ankush-Chander
* import JSON from Roam Research export
## 0.3.0
2021-04-23
* add conda `environment.yml` plus instructions
* use `bandit` to check for security issues
* add `pre-commit` hooks
* add `lgtm` code reviews (slow, not integrating into GitHub PRs directly)
* add use of `pipdeptree` to analyze dependencies
* refactor docs to use Divio design patterns; kudos @louisguitton
* created `SECURITY.md` security policy
* using Snyk for security audits of dependencies (it has some troubles)
* testing/correcting the PSL examples; kudos @louisguitton
* include first user quote; kudos @kaaloo !!
* multifile decorator (supports globs) for `load_rdf()`; kudos @Ankush-Chander
* fixed bug in SubgraphTensor null check; kudos @dvsrepo
* prep for pytorch_geometric integration; kudos @dvsrepo
* add `as_tensor()` support for PyTorch
## 0.2.1
2021-03-12
* tutorial proofreading and corrections; kudos @louisguitton
* better exception handling for RDF construction, parsing, serialization
* `build_nx_graph()` now requires a `networkx.DiGraph` directed graph as an argument
* add DOI to README, CITATION, and docs
* add contributor instructions
* neo4j integration via `neosemantics`; kudos @gauravjaglan
* replace `GPUtil` with `pynvml` as recommended by NVidia; kudos @kingmesal
* option to enable NVidia GPU use, if devices are available and libraries are installed
* using `cuDF`/`cuGraph` in lieu of `pandas`/`networkx` where possible; kudos @BradReesWork
## 0.2.0
2021-02-07
* project milestone release
* begin integration of `csvwlib`
## 0.1.8
2021-01-31
* hotfix: backing out the `igraph` dependency; too many installation issues with it
* factory pattern to build an `igraph` object allows caller to create and pass in, instead
## 0.1.7
2021-01-30
* fix for `save_parquet()` since `storage_options` won't be used by `pandas` before 1.2.0
* introduced `SubgraphMatrix` and `SubgraphTensor` as subclasses for the base vectorization
* introduced `PSLModel` class for building *probabilistic soft logic* models
* using `icecream` in methods that require verbose traces
## 0.1.6
2021-01-19
* rollback `pandas` to 1.1.5 which is the latest stable on Ubuntu; see #94
* revise `pyvis` use as a factory pattern
* extend RDFlib serialization with `urlpath` support
* extend all serialization to support file-like objects
* including `gcsfs` and `fsspec` to leverage cloud bucket access in `pandas`
* added `code_of_conduct.md`
* code checking based on `pylint`
* added accessor methods, e.g., `KnowledgeGraph.rdf_graph()`
* updated `pandas` usage for direct Parquet/Arrow calls, e.g., `read_parquet()` and `to_parquet()`
* updated `pyshacl` usage to >= 0.14.1 to support `inplace` graph manipulation (inference)
## 0.1.5
2021-01-04
* renamed serialization methods, e.g., `save_ttl()` -- **WILL BREAK THINGS**
* impl `load_rdf_text()` and `save_rdf_text()` to deserialize/serialize as text
* type checking based on `typing` and `mypy`
* corrected the `networkx` examples to use `DiGraph` for directed graphs
* generated `meta.yml` for conda support
* use `mkdocs` to generate documentation
* add method to return SPARQL query result set as a `pandas` DataFrame
* integrate with `python-igraph`, `leidenalg`, `cairocffi` to support iGraph
* provide simple `OWL-RL` inference with `infer_rdfs_closure()` and `infer_owlrl_closure()`
* add `Subgraph` class for projecting onto `networkx`
* add `Measure` class for measuring graphs and creating simplex generators
* use `coverage` for unit test coverage
* use `chocolate` for enhanced kwargs
* make `KnowledgeGraph` class GPU-aware
* add `ShapeFactory` and related classes for evolving shape prediction
## 0.1.4
2020-12-06
* added `pySHACL` examples
* resolved Google Colab errors registering the `rdflib-jsonld` plugin
* comparing timing info across serialization methods
* simplified the example notebook naming convention
## 0.1.3
2020-12-04
* resolved removal of `grave` dependencies
* added arrows to `pyvis` example by making it a directed graph
* kudos @dmoore247
## 0.1.2
2020-11-30
* support for dependabot
* added a logo
* interactive visualizations in `pyvis` and `grave`
* SPARQL query examples
* running graph algorithms in `networkx`
* Parquet files using `pyarrow`
* examples of annotation that combine use of SPARQL, SKOS, etc.
* added instructions for installing/running JupyterLab
* examples of SRL inference using `pslpython`
* demo use of vector embedding with `gensim`
* examples of string similarity with `pylev`
## 0.1.1
2020-11-09
* first distribution on PyPi
## 0.1.0
2020-10-25
* initial check-in