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20232026
most citedLarge Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning

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cs.LG2023

Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks

Hao Liu, Jiarui Feng, Lecheng Kong +3

Graph Neural Networks (GNNs) have become popular in Graph Representation Learning (GRL). One fundamental application is few-shot node classification. Most existing methods follow t…