| Titre : | GraphSage implementation in PGX | | Type de document : | texte imprimé | | Auteurs : | Ben Ayad, Mohamed Ayoub, Auteur | | Langues : | Français (fre) | | Catégories : | Génie Logiciel
| | Index. décimale : | 2168/19 | | Résumé : | This report is the result of my work as part of my capstone project at Oracle Labs within the PGX team in collaboration with SIP research team, in order to finish my training at the National School of Computer Science and Systems Analysis. The PGX project is one of Oracle Labs biggest ones, which is entirely devoted to Parallel, Efficient and In-Memory Graph Processing.
My intervention took place within the PGX team, thus, in this context, the mission of the internship was to implement a new graph learning method, which is GraphSage, to empower PGX stack of built-in algorithms.
To do this, we have studied graph learning methods, GraphSage in particular; designed and implemented an efficient and fast model for PGX users. |
GraphSage implementation in PGX [texte imprimé] / Ben Ayad, Mohamed Ayoub, Auteur . - [s.d.]. Langues : Français ( fre) | Catégories : | Génie Logiciel
| | Index. décimale : | 2168/19 | | Résumé : | This report is the result of my work as part of my capstone project at Oracle Labs within the PGX team in collaboration with SIP research team, in order to finish my training at the National School of Computer Science and Systems Analysis. The PGX project is one of Oracle Labs biggest ones, which is entirely devoted to Parallel, Efficient and In-Memory Graph Processing.
My intervention took place within the PGX team, thus, in this context, the mission of the internship was to implement a new graph learning method, which is GraphSage, to empower PGX stack of built-in algorithms.
To do this, we have studied graph learning methods, GraphSage in particular; designed and implemented an efficient and fast model for PGX users. |
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