Geometric and topological representations in graph neural networks

Graph Neural Networks (GNNs) show impressive performance in link-prediction analysis and node classification problems as compared to other neural network approaches. In this paper, the geometric and topological structures of various kinds of node embedding GNNs such as basic GNN, Graph Convolutional...

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Bibliographic Details
Main Author: Ew, Jo Ee
Other Authors: Xia Kelin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139448
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Institution: Nanyang Technological University
Language: English