What’s new in LynxKite?
- Neo4j 4.x support.
- Revamped Neo4j import. Instead of importing tables, you can now import a whole graph.
- Added Neo4j export. You can export vertex or edge attribute or the whole graph.
- AVRO and Delta Lake import and export.
- Added the “Filter with SQL” box as a more flexible alternative to “Filter by attributes”.
- Visualization option to not display edges. Great in large geographic datasets.
- “Use table as vertex/edge attributes” boxes are more friendly and handle name conflicts better
- Added aggregation support for Vector attributes. (Elementwise average, sum, etc.)
- Added an option to disable generated suffixes for aggregated variables.
- Fix for edge coloring. (#84)
- Fixed issue with interactive tutorials. (#30)
- Fixed issue with graph attributes in “Create graph in Python”. (#25)
- Fixed issue with non-String attributes in “Use table as graph”. (#26)
- Replaced trademarked box icons (it was an accident!) with free ones.
Also switched to FontAwesome 5 everywhere to get a better selection of icons.
- Improved the User Guide. (#38, #39)
We’ve open-sourced LynxKite!
We took this opportunity to make many changes that break compatibility with the LynxKite 3.x series.
We can help migrate existing workspaces to LynxKite 4.0 if necessary.
- Replaced the separate
Double attribute types with
- Instead of the
(Double, Double) attribute type, 2D positions are now represented as
Vector[number]. This type is widely supported and more flexible.
Use “Bundle vertex attributes into a Vector” instead of “Convert vertex attributes to
position”, which is now gone.
- Renamed “scalars” to “graph attributes”. Renamed “projects” to “graphs”. These mysterious names
were largely used for historical reasons.
- Removed “Predict with a graph neural network” operation.
(It was an early prototype, long since succeeded by the “Predict with GCN” box.)
- Removed “Predict attribute by viral modeling” box. It is more flexible to do the same
thing through a series of more elemental boxes.
A built-in box (“Predict from communities”) has been added to serve as a starting point.
- Made it easier to use graph convolutional boxes: added “Bundle vertex attributes into a Vector”
and “One-hot encode attribute” boxes.
- Replaced the “Reduce vertex attributes to two dimensions” and “Embed with t-SNE” boxes with
the new “Reduce attribute dimensions” box which offers both PCA and t-SNE.
- “Compute in Python” boxes now support
- “Create Graph in Python” box added.
- Inputs and outputs for “Compute in Python” can now be inferred from the code.
- More accurate progress indicators for box outputs.
- Visualizations can now render edges as undirected straight lines.
- Hover and progress animations for boxes.
- Implemented a lot of common operations on Sphynx speeding up many workspaces significantly.
- Added graph convolutional network operations: “Train a GCN regressor”,
“Train a GCN classifier”, and “Predict with GCN”.
- Added “Compute in Python” box.
- Advanced settings in some boxes are hidden behind a click.
- Long legends on visualizations can be scrolled.
- Wizards can be maximized.
- Revamped the “Visualize as slider” feature. The slider now appears on the visualization
instead of appearing in the configuration. The slider can affect either the color or the visibility
- The currently viewed folder is now stored in the URL, so you can send a link to a specific folder.
The default folder after logging in is your user folder.
- Small improvements, like better defaults for graph visualizations and nicer trigger button on
- Hotfix for a Sphynx bug. (#9053)
- Sphynx is now enabled by default. A couple operations run on Sphynx.
- Wizards have been added as an experimental feature. Use the anchor box to turn a workspace
into a wizard.
- If you copied some boxes into a YAML file, you can now drag-and-drop this file
to a workspace to insert those boxes.
kiterc configuration options to allow public access LynxKite instances.
- Added “Embed vertices”, “Embed with t-SNE”, and “Import well-known graph dataset”
operations. They require PyTorch Geometric to be installed.
- Smaller UI improvements and performance improvements.
- Retry backend requests on 504 Gateway Timeout errors. This allows running without timeout errors
even behind proxies that we cannot reconfigure, such as in client deployments or on
- Minor UI fixes and graph visualization improvements.
- New multi-domain backend. This is the foundation for the high-performance Sphynx backend.
(But Sphynx is not included yet.)
- Users are welcomed by an interactive tutorial.
- A choice of color maps for visualizing qualitative attributes.
- Instruments (such as graph visualization and SQL) can be used on snapshots.
- “Go to root folder” button and “Copy path to clipboard” option in directory browser.
- Bug fixes and improvements, such as eliminating flicker on UI elements.
- Click a vertex in a visualization to open a context menu for interactive graph navigation.
- Popup box improvements: Parameters are full-width. Popups avoid overlapping. Popups reopen
at previous position with previous dimensions.
- Added new operation: Export to Hive.
- For consistency, project tables such as
edges can be accessed as
- Bugfixes for HDFS use under Kerberos, and minor fixes and improvements in LynxKite.
- The first public evaluation release.