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The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset.

, , , , , , , , и . CoRR, (2024)

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Ekaterini Kaleri

Matthias Kaler

Joachim Kaler Lanzenheim

Hermann Kaler Lanzheim

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High-Throughput Image Alignment for Connectomics using Frugal Snap Judgments., , и . HPEC, стр. 1-9. IEEE, (2020)The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset., , , , , , , , и . CoRR, (2024)Speedcode: Software Performance Engineering Education via the Coding of Didactic Exercises., , , , , , и . IPDPS (Workshops), стр. 391-394. IEEE, (2024)Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining., , , , , , и . MLSys, mlsys.org, (2022)EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs., , , , , , , , и . AAAI, стр. 5363-5370. AAAI Press, (2020)A Multicore Path to Connectomics-on-Demand., , , , , , , , и . PPoPP, стр. 267-281. ACM, (2017)Optimal Reissue Policies for Reducing Tail Latency., , и . SPAA, стр. 195-206. ACM, (2017)High-throughput image alignment for connectomics using frugal snap judgments: poster., , и . PPoPP, стр. 433-434. ACM, (2019)Ordering Heuristics for Parallel Graph Coloring., , , и . Massive Graph Analytics, Chapman and Hall/CRC, (2022)PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation., , , , , , и . APOCS, стр. 144-158. SIAM, (2021)