Summary
* Added 3 popular model architectures from literature (GATv2, GraphSAGE, and GCN) and a commonly-used MPNN architecture from within Google.
* Adds an orchestrator toolkit for low-code solutions on common graph learning tasks
* Added a flexible sampler implementation which supports edge-based and node-based sampling.
**Full Changelog**: https://github.com/tensorflow/gnn/compare/v0.2.0.dev1...v0.2.0