EX-Graph: A Pioneering Dataset Bridging Ethereum and X

Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, B. Luo +1 more
2/12/2026

No official code found. Best implementation: Persdre/EX-Graph (22 stars, last commit 2024-09-30).

Abstract

While numerous public blockchain datasets are available, their utility is constrained by an exclusive focus on blockchain data. This constraint limits the incorporation of relevant social network data into blockchain analysis, thereby diminishing the breadth and depth of insight that can be derived. To address the above limitation, we introduce EX-Graph, a novel dataset that authentically links Ethereum and X, marking the first and largest dataset of its kind. EX-Graph combines Ethereum transaction records (2 million nodes and 30 million edges) and X following data (1 million nodes and 3 million edges), bonding 30,667 Ethereum addresses with verified X accounts sourced from OpenSea. Detailed statistical analysis on EX-Graph highlights the structural differences between X-matched and non-X-matched Ethereum addresses. Extensive experiments, including Ethereum link prediction, wash-trading Ethereum addresses detection, and X-Ethereum matching link prediction, emphasize the significant role of X data in enhancing Ethereum analysis. EX-Graph is available at \url{https://exgraph.deno.dev/}.

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Persdre/EX-GraphCommunity100%

[ICLR 2024] EX-Graph: A Pioneering Dataset Bridging Ethereum and X https://openreview.net/pdf?id=juE0rWGCJW

222C, PythonMay 26, 20232 years agoNOASSERTION

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Cite this paper

@article{wang2026exgraph,
  title  = {EX-Graph: A Pioneering Dataset Bridging Ethereum and X},
  author = {Qian Wang and Zhen Zhang and Zemin Liu and Shengliang Lu and B. Luo and Bingsheng He},
  year   = {2026},
  eprint = {2310.01015},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2310.01015},
  journal = {ICLR 2023 2023}
}

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