Graph Neural Networks for Social Recommendation.pptx

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Ho-Beom Kim
Network Science Lab
Dept. of Mathematics
The Catholic University of Korea
E-mail: hobeom2001@catholic.ac.kr
20...

2
Introduction
Problem Statements
• Social networks are developed based on the phenomenon of acquiring and disseminating i...

3
Introduction
Problem Statements
• The issue is about how to aggregate information, and it presents several challenges.
1...

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Introduction
Contribution
1. A new Graph Neural Network (GraphRec) is proposed, which can be consistently used in social...

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Methodology
Notation

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Methodology
The overall architecture of the proposed model.

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Methodology
Item Aggregation

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Methodology
Social Aggregation

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Methodology
User Aggregation

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Methodology
Rating Prediction

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Methodology
Model Training

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Experiments
Datasets

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Experiments
Performance comparison of different recommender systems

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Experiments
Effect of social network and user opinions on Ciao and Epinions datasets.

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Experiments
Effect of attention mechanisms on Ciao and Epinions datasets.

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Experiments
Effect of embedding size on Ciao and Epinions datasets.

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Conclusions
Conclusion
• GraphRec is proposed for rating prediction in the field of social networks, offering a new app...

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