S-Walk
Author:
Affiliation:
1. Sungkyunkwan University, Seoul, Republic of Korea
2. Naver Corp., Seoul, Republic of Korea
3. Google Research & Seoul National University, Mountain View, MAN, USA
4. Yonsei University, Seoul, Republic of Korea
Funder
Institute of Information & communications Technology Planning& evaluation (IITP)
National Research Foundation of Korea (NRF)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3488560.3498464
Reference57 articles.
1. Sami Abu-El-Haija Amol Kapoor Bryan Perozzi and Joonseok Lee. 2020. N-GCN: Multi-scale graph convolution for semi-supervised node classification. In Uncertainty in Artificial Intelligence (UAI) . Sami Abu-El-Haija Amol Kapoor Bryan Perozzi and Joonseok Lee. 2020. N-GCN: Multi-scale graph convolution for semi-supervised node classification. In Uncertainty in Artificial Intelligence (UAI) .
2. Rakesh Agrawal , Tomasz Imielinski , and Arun N . Swami . 1993 . Mining Association Rules between Sets of Items in Large Databases. In SIGMOD . 207--216. Rakesh Agrawal, Tomasz Imielinski, and Arun N. Swami. 1993. Mining Association Rules between Sets of Items in Large Databases. In SIGMOD . 207--216.
3. Geoffray Bonnin and Dietmar Jannach . 2014 . Automated Generation of Music Playlists: Survey and Experiments . ACM Comput. Surv. , Vol. 47 , 2 (2014), 26:1--26:35. Geoffray Bonnin and Dietmar Jannach. 2014. Automated Generation of Music Playlists: Survey and Experiments. ACM Comput. Surv. , Vol. 47, 2 (2014), 26:1--26:35.
4. Local Collaborative Autoencoders
5. Minjin Choi Jinhong Kim Joonseok Lee Hyunjung Shim and Jongwuk Lee. 2021 b. Session-aware Linear Item-Item Models for Session-based Recommendation. In WWW . 2186--2197. Minjin Choi Jinhong Kim Joonseok Lee Hyunjung Shim and Jongwuk Lee. 2021 b. Session-aware Linear Item-Item Models for Session-based Recommendation. In WWW . 2186--2197.
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