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- research-articleAugust 2022
Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningAugust 2022, Pages 2450–2460https://doi.org/10.1145/3534678.3539431Graph few-shot learning seeks to alleviate the label scarcity problem resulting from the difficulties and high cost of data annotations in graph learning. However, the overwhelming solutions in graph few-shot learning focus on homogeneous graphs, ...