Structural Identity Representation Learning of Blockchain Transaction Network for Metaverse

Bishenghui Tao, Hong Ning Dai, Haoran Xie, Fu Lee Wang

Research output: Chapter in book/report/conference proceedingConference contributionpeer-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
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9781665471893
ISBN (Print)9781665471909
DOIs
Publication statusPublished - Sep 2022
Event24th IEEE International Workshop on Multimedia Signal Processing, MMSP 2022 - Shanghai, China
Duration: 26 Sep 202228 Sep 2022
https://ieeexplore.ieee.org/xpl/conhome/9948698/proceeding

Publication series

NameProceedings of International Workshop on Multimedia Signal Processing (MMSP)

Conference

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

Scopus Subject Areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Media Technology

User-Defined Keywords

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

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