Subgraph extraction algorithm for large scale heterogeneous graph

Large-scale heterogeneous graphs, containing different types of nodes and edges, bring new challenges to the efficiency and scalability of graph representation learning and Graph Neural Network-based algorithms. For some graph learning tasks, such as inductive graph reasoning, pre-training on who...

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Bibliographic Details
Main Author: Wu, Eric JiaQing
Other Authors: Luo Siqiang
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175480

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