Path Complex Neural Networks for Sequential Process Activities Classification-Reference-Cited by-同舟云学术

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Path Complex Neural Networks for Sequential Process Activities Classification

Published:2025-07-20 Issue: Volume: Page:544-554
ISSN:
Container-title:Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1
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Author:

Huang Liang¹^ORCID,Xia Kelin²^ORCID,Hu Chuan-Shen²^ORCID

Affiliation:

1. Nanyang Technological University, Singapore, Singapore & HP Inc., Singapore, Singapore

2. Nanyang Technological University, Singapore, Singapore

Funder

Ministry of Education - Singapore

Publisher

ACM

Reference80 articles.

1. Anti Alman, Alessio Arleo, Iris Beerepoot, Andrea Burattin, Claudio Di Ciccio, and Manuel Resinas. 2024. Tiramisù: A Recipe for Visual Sensemaking of Multi-faceted Process Information. In Process Mining Workshops. Springer Nature Switzerland, Cham, 19--31.

2. Automated Discovery of Process Models from Event Logs: Review and Benchmark

3. DisCoveR: accurate and efficient discovery of declarative process models

4. Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

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