Structural Identity Representation Learning of Blockchain Transaction Network for Metaverse

Bishenghui TAO, Hong Ning DAI, Haoran XIE, Fu Lee WANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

Abstract

Both the metaverse and its underlying blockchain technology have attracted extensive attention in the past few years. It becomes a natural problem to extract, process, and analyze the tremendous data generated by the blockchain systems for various metaverse applications though it also poses diverse challenges. Amongst those challenges, this paper mainly focuses on modeling and understanding the blockchain transaction network from a structural identity perspective, which represents the entire network structure and reveals the relations among multiple entities. In this paper, we propose a novel representation learning method named Structure-to-Vector with Random Pace (SVRP) for learning both latent representation and structural identity of blockchain transaction networks. We then conduct node classification and link prediction tasks with integration with Graph Neural Networks (GNNs). Empirical results on three representative blockchain data sets, namely Non-fungible token (NFT), Ethereum (ETH), and Bitcoin (BTC), demonstrate that our proposed SVRP outperforms other existing methods in multiple tasks. In particular, our SVRP achieves the highest node classification accuracy (99.3%) while only requiring original non-attributed graphs (i.e., graphs without node features).

Original languageEnglish
Title of host publication2022 IEEE 24th International Workshop on Multimedia Signal Processing, MMSP 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665471893
DOIs
Publication statusE-pub ahead of print - 22 Nov 2022
Event24th IEEE International Workshop on Multimedia Signal Processing, MMSP 2022 - Shanghai, China
Duration: 26 Sep 202228 Sep 2022

Publication series

Name2022 IEEE 24th International Workshop on Multimedia Signal Processing, MMSP 2022

Conference

Conference24th IEEE International Workshop on Multimedia Signal Processing, MMSP 2022
Country/TerritoryChina
CityShanghai
Period26/09/2228/09/22

Bibliographical note

Funding Information:
The research has been supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS16/E01/19), CS Department Start-up Fund (179432) of Hong Kong Baptist University, and the Faculty Research Grants (DB22B7) of Lingnan University, Hong Kong.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Blockchain
  • Complex Networks
  • Graph Neural Networks
  • Graph Representation
  • Metaverse

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