What’s new in LynxKite?

4.2.1

• Fix for Chrome 90. #162
• Fixed a few other UI bugs. #164
• Reduced memory use in Sphynx. #141

4.2.0

• 42 algorithms from NetworKit have been integrated into LynxKite. They include new centrality measures, random graph generators, community detection methods, graph metrics (diameter, effective diameter, assortativity), optimal spanning trees and more. (#102, #106, #111), #123)
• Users can now opt in to sharing anonymous usage statistics with the LynxKite team. (#128)
• Environment variables can be used to override .kiterc settings. (#110)
• Added a built-in for parametric parameters (workspaceName) that can be used to force recomputation in wizards. (#131)

4.1.0

• Neo4j 4.x support.
• Revamped Neo4j import. Instead of importing tables, you can now import a whole graph. (#90)
• Added Neo4j export. You can export vertex or edge attribute or the whole graph. (#91)
• AVRO and Delta Lake import and export. (#63, #86)
• 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 now.
• 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)

4.0.1

• 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)

4.0.0

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 Long, Int, Double attribute types with number.
• 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 Vector[Double] attributes.
• “Create Graph in Python” box added.
• Inputs and outputs for “Compute in Python” can now be inferred from the code.

3.2.1

• More accurate progress indicators for box outputs.
• Visualizations can now render edges as undirected straight lines.
• Hover and progress animations for boxes.

3.2.0

• 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 of vertices.
• 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 import boxes.

3.1.1

• Hotfix for a Sphynx bug. (#9053)

3.1.0

• 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.
• New 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.

3.0.2

• 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 demo.lynxkite.com.

3.0.1

• Minor UI fixes and graph visualization improvements.

3.0.0

• 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.

2.8.5

• Click a vertex in a visualization to open a context menu for interactive graph navigation.

2.8.4

• Popup box improvements: Parameters are full-width. Popups avoid overlapping. Popups reopen at previous position with previous dimensions.

2.8.3

• Added new operation: Export to Hive.

2.8.2

• Remote API bugfixes

2.8.1

• For consistency, project tables such as vertices and edges can be accessed as input.vertices and input.edges now.
• Bugfixes for HDFS use under Kerberos, and minor fixes and improvements in LynxKite.

2.8.0

• Upgraded to Spark 2.4.3.

2.7.0

• The first public evaluation release.