Graphistry

Changed

* Speed up `g.umap()` >100x by using cuML UMAP engine
* Drop official support for Python 3.6 - its LTS security support stopped 9mo ago
* neo4j: v5 support - backwards-compatible changing derefs from id to element_id

Added

* umap: Optional `engine` parameter (default `cuml`) for `UMAP()`
* ipynb: UMAP purpose, functionality and parameter details, with general UMAP notebook planned in future (features folder)

Fixed

* has_umap: removed as no longer necessary

Added

* neo4j: v5 support (experimental)

Changed

* Infra: suppress igraph pandas FutureWarnings

Changed

* Infra: Remove heavy AI dependencies from `pip install graphistry[dev]`

Added

* igraph: Optional `use_vids` parameter (default `False`) for `to_igraph()` and its callers (`layout_igraph`, `compute_graph`)
* igraph: add `coreness` and `harmonic_centrality` to `compute_igraph`

Fixed

* igraph: CI errors around igraph
* igraph: Tolerate deprecation warning of `clustering`
* Docs: Typos and updates - thanks gadde5300 + szhorvat !

Changed

* Speed up `import graphistry` 10X+ by lazily importing AI dependencies. Use of `pygraphistry[ai]` features will still trigger slow upstream dependency initialization times upon first use.

Fixed

* Docs: Update Labs references to Hub

Fixed

* `group_in_a_box_layout()`: Remove verbose output
* `group_in_a_box_layout()`: Remove synthesized edge weight

Breaking 🔥

* Types: Switch `materialize_nodes` engine param to explicitly using`Engine` typing (no change to untyped user code)

Added

* `g.keep_nodes(List or Series)`
* `g.group_in_a_box_layout(...)`: Both CPU (pandas/igraph) and (cudf/cugraph) versions, and various partitioning/layout/styling settings
* Internal clientside Brewer palettes helper for categorical point coloring

Changed

* Infra: CI early fail on deeper lint
* Infra: Move Python 3.6 from core to minimal tests due to sklearn 1.0 incompatibility

Fixed

* lint
* suppress known dgl bindings test type bug