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Ricci, Francesco

  1. Graph Learning based Recommender Systems: A Review
    2021/05/13 by Shoujin Wang, Liang Hu, Wang, Shoujin +15 · 11 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
  2. Trustworthy Recommender Systems
    2022/08/10 by Shoujin Wang, Xiuzhen Zhang, Wang, Shoujin +7 · 10 citations
    Computer Science · #Recommender Systems and Techniques #Stochastic Gradient Optimization Techniques #Advanced Graph Neural Networks
  3. Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
    2024/11/20 by Yoel Zimmermann, Adib Bazgir, Zimmermann, Yoel +298 · 3 voices · 7 citations
    Engineering · #Biomedical and Engineering Education
  4. Recommendation with Generative Models
    2024/09/18 by Deldjoo, Yashar, He, Zhankui, McAuley, Julian +8 · 8 citations
    #Artificial Intelligence (cs.AI) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  5. Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns
    2022/11/09 by Ivan Donadello, Donadello, Ivan, Chiara Di Francescomarino +7 · 2 citations
    Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #I.2.4 #I.2.6 #Logic in Computer Science (cs.LO) #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services
  6. Abinit 2025: New Capabilities for the Predictive Modeling of Solids and Nanomaterials
    2025/07/11 by Matthieu J. Verstraete, Joao Abreu, Verstraete, Matthieu J. +175 · 1 voice · 9 citations
    Materials Science · Physics and Astronomy · #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #cond-mat.mtrl-sci