Search Results for author:
Found 5 papers, 1 papers with code
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
In this paper, we propose a Temporal Transaction Aggregation Graph Network (TTAGN) to enhance phishing scams detection performance on Ethereum.
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data
Unfortunately, the original Bigraphical Lasso algorithm is not applicable in case of large p and n due to memory requirements.
When Creators Meet the Metaverse: A Survey on Computational Arts
The metaverse, enormous virtual-physical cyberspace, has brought unprecedented opportunities for artists to blend every corner of our physical surroundings with digital creativity.
Discussion of Kallus (2020) and Mo, Qi, and Liu (2020): New Objectives for Policy Learning
We discuss the thought-provoking new objective functions for policy learning that were proposed in "More efficient policy learning via optimal retargeting" by Nathan Kallus and "Learning optimal distributionally robust individualized treatment rules" by Weibin Mo, Zhengling Qi, and Yufeng Liu.
Public discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19.
