v0.5.0rc0

What's Changed

• Code Tutorial #1: Running TF-GNN on single machine. by @copybara-service in #215
• Minor tutorial site changes. by @copybara-service in #218
• Add link to slides by @copybara-service in #220
• Add GPT-GNN folder for the new autoregressive edge-prediction Task. by @copybara-service in #232
• Add compatibility tests for oldest supported Python and TensorFlow version (in this case Python 3.7 and TensorFlow 2.8) by @copybara-service in #234
• Add MultiHeadAttention model option to xm_launcher by @copybara-service in #235
• Satisfy pytype by having kwarg Convolve(extra_receiver_ops=...) where unused. by @copybara-service in #237
• Fix embedded paths to point to LoG location instead. by @copybara-service in #240
• Small colab fixes. by @copybara-service in #242
• Fix link and copy as_dataset implementation that is not yet in pip package. by @copybara-service in #246
• Use Keras layers (vs. tensor functions) for pooling. by @copybara-service in #247
• Move interfaces from orchestration.py to interfaces.py. by @copybara-service in #248
• Exhaustively test Tasks cross distribution strategy. by @copybara-service in #250
• Add save_options to ModelExporters by @copybara-service in #254
• fixes tag filters in test script by @copybara-service in #256
• Fix overriding return type. by @copybara-service in #265
• Apply DGI Task random seed for feature shuffling operations. Also add the missing tests for distributed strategy to ensure model correctness is deterministically validated. by @copybara-service in #182
• Expose check_compatible_with_schema_pb to the public interface. by @copybara-service in #271
• Enabling GCNConv layer to work with weighted adjacency. by @copybara-service in #274
• Add a tensorflow_gnn/models/constrastive_losses/... with a Deep Graph Infomax implementation. by @copybara-service in #285
• Negative sampling operation that returns a tensor of unconnected nodes for each node-id in the adjacency list. by @copybara-service in #158

Full Changelog: v0.4.0...v0.5.0rc0