Dissertation/ Thesis
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Towards trustworthy and efficient machine learning on graph-structured data : theory and algorithms

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Τίτλος: Towards trustworthy and efficient machine learning on graph-structured data : theory and algorithms
Συγγραφείς: Su, Jun Wei
Στοιχεία εκδότη: The University of Hong Kong (Pokfulam, Hong Kong)
Έτος έκδοσης: 2025
Συλλογή: University of Hong Kong: HKU Scholars Hub
Θεματικοί όροι: Graph theory - Data processing, Machine learning
Περιγραφή: published_or_final_version ; Computer Science ; Doctoral ; Doctor of Philosophy
Τύπος εγγράφου: doctoral or postdoctoral thesis
Γλώσσα: English
Relation: HKU Theses Online (HKUTO); 991045117251203414; https://hub.hku.hk/handle/10722/363978
Διαθεσιμότητα: https://hub.hku.hk/handle/10722/363978
Rights: The author retains all proprietary rights, (such as patent rights) and the right to use in future works. ; This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Αριθμός Καταχώρησης: edsbas.DBC8C0F1
Βάση Δεδομένων: BASE
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  – Url: https://hub.hku.hk/handle/10722/363978#
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      – Text: English
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      – SubjectFull: Graph theory - Data processing
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      – SubjectFull: Machine learning
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