Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum

Graph neural architecture search (GraphNAS) has shown great potential for automatically designing graph neural architectures for graph related tasks. However, multi-task GraphNAS, capable of handling multiple tasks simultaneously and capturing the complex relationships and dependencies between them, has been largely unexplored in literature.