Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks.

@inproceedings{luo-2025-optimizing, author = {Junliang Luo and Xue Liu}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {410--418}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3703521}, doi = {https://doi.org/10.1145/3701551.3703521} }