This repo describes intended learning outcomes for a project focusing on Graph Attention Networks (GAT). The primary objective involves understanding fundamental concepts, architectural components, and practical implementation steps involved in designing a GAT-based solution. By completing this project, learners understand attention mechanisms applied to graph-structured data and how node representations can improve through attention-based message passing.
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