01.08.2025
MCML at KDD 2025
Two Accepted Papers (1 Main, and 1 Workshop)
31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Toronto, ON, Canada, Aug 03-07, 2025
We are happy to announce that MCML researchers have contributed a total of 2 papers to KDD 2025: 1 Main, and 1 Workshop papers. Congrats to our researchers!
Main Track (1 paper)
Y. Ma • J. Schweisthal • H. Zhang • S. Feuerriegel
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.
KDD 2025 - 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. DOI
A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.
KDD 2025 - 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. DOI
Workshops (1 paper)
Z. Ding • Y. Li • Y. He • A. Norelli • J. Wu • V. Tresp • Y. Ma • M. Bronstein
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models.
TGL @KDD 2025 - Temporal Graph Learning Workshopat the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. URL
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models.
TGL @KDD 2025 - Temporal Graph Learning Workshopat the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Toronto, ON, Canada, Aug 03-07, 2025. URL
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16.09.2026
Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI
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