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@mihirparadkar mihirparadkar released this 27 Jul 21:21
· 2 commits to r0.6 since this release
v0.6.0
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What's Changed

  • Typo fix is_writen -> is_written by @copybara-service in #304
  • For examples/notebooks, install the latest release (not release candidate). by @copybara-service in #306
  • Add OGBN-MAG colab links by @copybara-service in #305
  • Partially re-enable some tests for TF2.9. by @copybara-service in #316
  • Expose integrated gradient function to enable building custom exporter with it. by @copybara-service in #319
  • Add causal masking when training with labels. by @copybara-service in #321
  • Fixes double-install of tf-nightly and tensorflow in nightly test script. by @copybara-service in #323
  • GCN model: Different normalizations of the adjacency matrix is added. The value of 'degree_normalization' controls how the edges are normalized. The default value of 'degree_normalization' is set to 'in_out'. Note that the default value gives a different output for asymmetric graphs compared to the previous default value. To reinstate the old behaviour of the code for asymmetric graphs, set 'degree_normalization' to 'in_in'. The 'normalize' flag is removed. To make sure the edges are not normalized, set the 'degree_normalization' to 'none'. by @copybara-service in #326
  • For eventual multi-task support: by @copybara-service in #335
  • This change is a no-op by @copybara-service in #262
  • Raise exception if a key has been provided, but no dictionary is available for ResidualNextState. by @copybara-service in #353
  • Hooks for HGT hyperparameter tuning by @copybara-service in #356
  • Update TF-GNN models to best practices: by @copybara-service in #358
  • Remove the unnecessary epsilon parameter. by @copybara-service in #363
  • Call validate_graph_tensor_spec_for_readout() from validate_schema(). by @copybara-service in #364
  • Remove the function random_graph_tensor_from_schema(). by @copybara-service in #367
  • Fix typo: s/contined/continued/ by @copybara-service in #379
  • Merge DGI layers with others. by @copybara-service in #385
  • Add code for upcoming generalized pool() and broadcast() operations. by @copybara-service in #384
  • Add more granular shuffling. by @copybara-service in #387
  • Unit-test broadcast_node_to_edges() for Adjacency and HyperAdjacency. by @copybara-service in #394
  • Expose RunResult. by @copybara-service in #395
  • Merge DGI layers with others. by @copybara-service in #402
  • Updates TF version for newest stable tests to 2.12 by @copybara-service in #410
  • Allow passing collection of receiver tags to ConvGNNBuilder by @copybara-service in #412
  • Fix the behavior of shuffle_tensor for 0 shapes. This happens with make_empty_feature and shuffling rate not in {0, 1}. by @copybara-service in #416
  • Correctly handle auxiliary graph pieces in convert_to_line_graph by @copybara-service in #422
  • TFLite tests for vanilla_mpnn and mt_albis by @copybara-service in #425
  • Allows specialization how composite tensors are converted for the bulk executor. by @copybara-service in #432
  • Silence some pytype errors. by @copybara-service in #439
  • Update attribution.py testing: the preprocessing model created by orchestration returns a Sequence[GraphTensor]. by @copybara-service in #442
  • Add Keras wrappers ReadoutNamedIntoFeature and AddReadoutFromFirstNode by @copybara-service in #452
  • Adjust maxval += 1 in the case of an integer random counterfactual. by @copybara-service in #457
  • Switch tfgnn.pool() to implementation v2 and remove v1. by @copybara-service in #464
  • Enable test case: subgraph sampling model, saving and loading, as tf.keras.Model. by @copybara-service in #468
  • Utils to read unigraph-formatted data into sampler v2 input format and a driver program used like graph_sampler.py by @copybara-service in #469
  • Align context indices dtype resolution between GraphTensor and GraphTensorSpec by @copybara-service in #477
  • Redefines indices_dtype as two concepts: by @copybara-service in #486
  • Add convenience function. by @copybara-service in #495
  • Fix type annotation: SimpleConv(..., receiver_feature=None) is supported by @copybara-service in #506
  • Fixes type annotation syntax in runner link prediction by @copybara-service in #511
  • Disable test that fails for unrelated reasons. by @copybara-service in #518
  • Sampler pieces are removed from tfgnn core package. by @copybara-service in #519
  • Re-enables edge sampling tests. by @copybara-service in #529
  • Implement the Coherence metric. by @copybara-service in #533
  • Fix for inconsistent ragged row partitions of edges and indices to select unique edges. by @copybara-service in #535

Full Changelog: v0.5.1...v0.6.0

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