Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning

Graph pooling methods have been widely used on downsampling graphs, achieving impressive results on multiple graph-level tasks like graph classification and graph generation. An important line called node dropping pooling aims at exploiting learnable scoring functions to drop nodes with comparativel...

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Hauptverfasser:	Li, Gaichao, Chen, Jinsong, Hopcroft, John E, He, Kun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence
Online-Zugang:	Volltext bestellen
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