paco xander nathan
paco xander nathan
Develop courseware for `kglab` based on Manning [*liveProject*](https://www.manning.com/liveproject-catalog): Depends on: #32 * reuse the example notebooks, adding better structure for *progressive exercises* * learners progress toward a capstone project *...
Extend the courseware with potential support from [BlazingSQL](https://blazingsql.com/) and plus [NVIDIA](https://developer.nvidia.com/rapids) credits. Depends on: #31 #32 #35 * Work with Manning to have `liveProjects` run selected notebooks on BlazingSQL platform...
Integrate with [Apache Spark](http://spark.apache.org/) based on Parquet serialization Depends on: #38 * allow for out-of-memory graph traversal, as an option for large horizontal scale-out of SPARQL, SHARCL, etc., with the...
To implement *shape prediction*, integrate `ShapeFactory` with [RLlib](http://rllib.io/) to evolve shapes. To do list: 1. `ShapeFactory`: leaderboard with non-dominated columns * `leaderboard_actor` based on 1. `Simplex1`: create probabilistic generators from...
Integrate with [Ray](https://ray.io/) to support for a distributed store Depends on: #38 #39 * leverage use of Ray actors, remote objects, parallel iterators, etc. to implement *sharding* for distributing store...
Integrate SPARQLWrapper along with the serialization methods, as a convenient means of consuming from a Currently it's a bit clunky to use, which may required digging into its internals to...
Provide integration paths for popular graph databases. Based on our user survey, the priorities are: - neo4j - DataStax - Ontotext - etc.
Integrate with [`graph-tool`](https://graph-tool.skewed.de/): 1. add a `graph-tool` example to the notebooks, based on `kglab.Subgraph`, which shows * advanced visualization * broader range of graph algorithms * parallelization based on [OpenMP](https://www.openmp.org/)...
Integrate with [Snorkel](https://www.snorkel.org/) for *weak supervision* use cases * add a notebook to show use of *weak supervision* as a complement to PSL, KGE, etc. * enhance the semantic tagging...
Use a graph defined by `kglab` to enhance *entity extraction* in [PyTextRank](https://github.com/DerwenAI/pytextrank/issues/70) * add support specifically for [*entity linking*](https://github.com/DerwenAI/pytextrank/issues/70) * coordinate with @louisguitton * submit `kglab` to [`spaCy Universe`](https://spacy.io/universe)