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Model Architecture
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Classroom Contents
Building Recommendation Systems Using Graph Neural Networks
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- 1 Intro
- 2 Graph ML is a branch of ML that deals with graph data
- 3 Neural Message Passing Goal is to obtain "neighborhood-aware" embeddings
- 4 Message Function
- 5 Aggregate/Reduce Function
- 6 Update Function
- 7 Single GNN Layer
- 8 RECKON - Graph Schema
- 9 Newsletter Recommendations
- 10 Link Prediction
- 11 RECKON - Cold Start Problem
- 12 RECKON - Pipeline
- 13 Model Architecture
- 14 RECKON - Scoring
- 15 DATA+AI SUMMIT 2022
