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SIGformer: Sign-aware Graph Transformer for Recommendation

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Recommendation Systems Courses Data Mining Courses Machine Learning Courses Neural Networks Courses Graph Theory Courses Information Retrieval Courses

Course Description

Overview

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Explore the innovative SIGformer: Sign-aware Graph Transformer for Recommendation in this 11-minute conference talk presented at SIGIR 2024. Delve into the latest advancements in graph-based recommendation systems as authors Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, and Can Wang introduce their novel approach. Learn how the SIGformer leverages sign-aware graph transformers to enhance recommendation accuracy and efficiency. Gain insights into the integration of graph structures and transformer architectures for improved personalized recommendations in various applications.

Syllabus

SIGIR 2024 T1.4 [fp] SIGformer: Sign-aware Graph Transformer for Recommendation


Taught by

Association for Computing Machinery (ACM)

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