AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs

Author:

Wang Yi,Huang ChangqinORCID,Li MingORCID,Huang QionghaoORCID,Wu Xuemei,Wu Jia

Funder

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Reference49 articles.

1. H. Peng, H. Li, Y. Song, V. Zheng, J. Li, Differentially private federated knowledge graphs embedding, in: Proceedings of ACM International Conference on Information & Knowledge Management, 2021, pp. 1416–1425.

2. P. Liao, H. Zhao, K. Xu, T. Jaakkola, G.J. Gordon, S. Jegelka, R. Salakhutdinov, Information obfuscation of graph neural networks, in: Proceedings of International Conference on Machine Learning, 2021, pp. 6600–6610.

3. Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer;Chereda;Genome Med.,2021

4. Algebraic graph-assisted bidirectional transformers for molecular property prediction;Chen;Nature Commun.,2021

5. Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks;Dai;Pattern Recognit.,2022

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