Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
Author:
Affiliation:
1. Fudan University, Shanghai, China
2. Independent, Seattle, USA
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3539618.3591779
Reference43 articles.
1. Latent Cross
2. Matthew Brand . 2006. Fast low-rank modifications of the thin singular value decomposition. Linear algebra and its applications , Vol. 415 , 1 ( 2006 ), 20--30. Matthew Brand. 2006. Fast low-rank modifications of the thin singular value decomposition. Linear algebra and its applications, Vol. 415, 1 (2006), 20--30.
3. Deep Structural Point Process for Learning Temporal Interaction Networks
4. Continuous-Time Dynamic Graph Learning via Neural Interaction Processes
5. Highly Liquid Temporal Interaction Graph Embeddings
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