Release Notes

TigerGraph ML Workbench 1.3

Two new data loader classes: HGTLoader and NodePiece.
Callback functions to all data loader factories: users can write functions to process the batch in a background thread before it is passed into the training loop.
A delimiter parameter to all data loader factories: users can choose what delimiter they want to separate attributes they are loading from the graph.

Template query support in the featurizer (requires TigerGraph Database version 3.9+).
Data splitters to automatically perform a schema change if needed to add attributes to the database.
Support for multi-edges in the upsertEdges() function.
Better error messaging.

Fixed SSL certificate handling when custom certificate is used.
Removed ANSI escape characters from output of .gsql() calls.
Improved the logic for shuffling vertices in dataloaders when filter_by attribute was used.
Improved the batching algorithm in dataloaders so that the output batches have a consistent batch size.
Changed getVertexCount() endpoint to more scalable solution.

TensorFlow support for homogeneous GNNs via the Spektral library
Heterogeneous Graph Dataloading support for DGL
Support for lists of strings in dataloaders
Activator for both Community and Enterprise editions of the ML Workbench (see https://act.tigergraphlabs.com for details)

Fixed KeyError when creating a data loader on a graph where PrimaryIdAsAttribute is False
Error catch if Kafka dataloader doesn’t run in asynchronous mode
Schema now refreshes during dataloader instantiation and featurizer attribute addition
Connection instantiation time reduced
Reinstall query if it is disabled
Confirm Kafka topic is created before subscription
Streamlined Kafka resource usage
Allow multiple consumers on the same data
Improved deprecation warnings

Soft launch of TigerGraph ML Workbench on Cloud, an end-to-end Kubeflow-managed cloud platform for training and serving machine learning models.

When creating a new Notebook, the user is prompted for Configurations and Affinity/Tolerations. These have no effect on the notebook.