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When Services Computing Meets Blockchain: Challenges and Opportunities.

, , и . CoRR, (2020)

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Zibin Wang

Ernst Zibinski

Zheng-Zheng Kuang

Xing Zheng

Jiarong Zheng

 

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AHNA: Adaptive representation learning for attributed heterogeneous networks., , , , и . Int. J. Intell. Syst., 37 (2): 1157-1185 (2022)FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs., , , , и . CoRR, (2022)FedGL: Federated Graph Learning Framework with Global Self-Supervision., , , и . CoRR, (2021)Bubble or Not: Measurements, Analyses, and Findings on the Ethereum ERC721 and ERC1155 Non-fungible Token Ecosystem., , , , , и . CoRR, (2023)A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends., , , , , , и . CoRR, (2023)RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation., , , , и . CoRR, (2023)When Services Computing Meets Blockchain: Challenges and Opportunities., , и . CoRR, (2020)Traveling the token world: A graph analysis of Ethereum ERC20 token ecosystem., , , , и . WWW, стр. 1411-1421. ACM / IW3C2, (2020)VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack., , , , и . CIKM, стр. 1148-1157. ACM, (2023)Selecting reliable blockchain peers via hybrid blockchain reliability prediction., , и . IET Softw., 17 (4): 362-377 (августа 2023)