06.12.2019
MCML at NeurIPS 2019
Four Accepted Papers (3 Main, and 1 Workshop)
33rd Conference on Neural Information Processing Systems, Vancouver, Canada, Dec 08-14, 2019
We are happy to announce that MCML researchers have contributed a total of 4 papers to NeurIPS 2019: 3 Main, and 1 Workshop papers. Congrats to our researchers!
Main Track (3 papers)
M. Biloš • B. Charpentier • S. Günnemann
Uncertainty on Asynchronous Time Event Prediction.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL
Uncertainty on Asynchronous Time Event Prediction.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL
A. Bojchevski • S. Günnemann
Certifiable Robustness to Graph Perturbations.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL
Certifiable Robustness to Graph Perturbations.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL
J. Gasteiger • S. Weißenberger • S. Günnemann
Diffusion Improves Graph Learning.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL
Diffusion Improves Graph Learning.
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. URL
Workshops (1 paper)
E. Faerman • O. Voggenreiter • F. Borutta • T. Emrich • M. Berrendorf • M. Schubert
Graph Alignment Networks with Node Matching Scores.
Graph Representation Learning @NeurIPS 2019 - Workshop on Graph Representation Learning at the 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. PDF
Graph Alignment Networks with Node Matching Scores.
Graph Representation Learning @NeurIPS 2019 - Workshop on Graph Representation Learning at the 33rd Conference on Neural Information Processing Systems. Vancouver, Canada, Dec 08-14, 2019. PDF
#research #top-tier-work #guennemann #schubert #seidl #tresp
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