ChainNet: Learning on Blockchain Graphs with Topological Features
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- Nino Antulov-Fantulin & Dijana Tolic & Matija Piskorec & Zhang Ce & Irena Vodenska, 2018. "Inferring short-term volatility indicators from Bitcoin blockchain," Papers 1809.07856, arXiv.org.
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Cited by:
- Yitao Li & Umar Islambekov & Cuneyt Akcora & Ekaterina Smirnova & Yulia R. Gel & Murat Kantarcioglu, 2019. "Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph," Papers 1912.10105, arXiv.org.
- Xiao Li & Linda Du, 2023. "Bitcoin daily price prediction through understanding blockchain transaction pattern with machine learning methods," Journal of Combinatorial Optimization, Springer, vol. 45(1), pages 1-24, January.
- Rico-Peña, Juan Jesús & Arguedas-Sanz, Raquel & López-Martin, Carmen, 2023. "Models used to characterise blockchain features. A systematic literature review and bibliometric analysis," Technovation, Elsevier, vol. 123(C).
- Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
- Xiao Li & Weili Wu, 2020. "A Blockchain Transaction Graph based Machine Learning Method for Bitcoin Price Prediction," Papers 2008.09667, arXiv.org.
- Panpan Li & Shengbo Gong & Shaocong Xu & Jiajun Zhou & Yu Shanqing & Qi Xuan, 2022. "Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction," Papers 2205.00974, arXiv.org.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-PAY-2019-09-09 (Payment Systems and Financial Technology)
- NEP-RMG-2019-09-09 (Risk Management)
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