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