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1908.02591
Cited By
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
31 July 2019
Mark Weber
Giacomo Domeniconi
Jie Chen
D. Weidele
Claudio Bellei
Tom Robinson
C. E. Leiserson
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Papers citing
"Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics"
50 / 127 papers shown
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The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning
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315
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374
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228
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286
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468
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456
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Kimon Fountoulakis
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Beyond Static Datasets: A Behavior-Driven Entity-Specific Simulation to Overcome Data Scarcity and Train Effective Crypto Anti-Money Laundering Models
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Dungy Liu
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Qian Shao
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219
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Bitcoin Research with a Transaction Graph Dataset
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Hugo Schnoering
Michalis Vazirgiannis
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237
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UniGAD: Unifying Multi-level Graph Anomaly Detection
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Yiqing Lin
Jianheng Tang
Chenyi Zi
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Yuan Yao
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259
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10 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review
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Yao Zou
Sheng Xiang
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369
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01 Nov 2024
Identifying Money Laundering Subgraphs on the Blockchain
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Kiwhan Song
Mohamed Ali Dhraief
Muhua Xu
Locke Cai
Xuhao Chen
Arvind
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225
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KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
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Andy Zhou
Xiaojun Xu
Ramesh Raghunathan
Alok Lal
Xinze Guan
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236
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Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Bruno Deprez
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Tim Verdonck
Wouter Verbeke
752
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Analysis of Corrected Graph Convolutions
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Aseem Baranwal
Kimon Fountoulakis
355
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Minjie Wang
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Muhua Xu
Ross Phillips
Tom Robinson
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Tim Kaler
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Arvind
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345
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Machine Learning for Blockchain Data Analysis: Progress and Opportunities
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Cüneyt Gürcan Akçora
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295
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28 Apr 2024
A survey of dynamic graph neural networks
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Lu Yi
Zhewei Wei
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Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
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Zhaoxin Yu
Qingchao Kong
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Machine Learning on Blockchain Data: A Systematic Mapping Study
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Sarah Bouraga
Leandros Tassiulas
331
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Investigating Similarities Across Decentralized Financial (DeFi) Services
Junliang Luo
Stefan Kitzler
Pietro Saggese
196
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Generative Semi-supervised Graph Anomaly Detection
Hezhe Qiao
Qingsong Wen
Xiaoli Li
Ee-Peng Lim
Guansong Pang
307
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Graph Inference Acceleration by Learning MLPs on Graphs without Supervision
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
211
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Subgraph Pooling: Tackling Negative Transfer on Graphs
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Zheyuan Zhang
Chuxu Zhang
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433
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Machine Learning on Dynamic Graphs: A Survey on Applications
IEEE International Conference on Multimedia Big Data (ICMBD), 2023
Sanaz Hasanzadeh Fard
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295
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Use of Graph Neural Networks in Aiding Defensive Cyber Operations
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Trisha Chakraborty
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Hengrui Zhang
Ziqing Hu
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217
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Class Label-aware Graph Anomaly Detection
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Chanyoung Park
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Dusit Niyato
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Xuemin
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229
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Martin Jullum
173
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