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Tim Postuvan

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2024
[i5]
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  - journals/corr/abs-2405-18050
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  - https://dblp.org/rec/journals/corr/abs-2405-18050
Tim Postuvan, Claas Grohnfeldt, Michele Russo, Giulio Lovisotto:
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs. CoRR abs/2405.18050 (2024)
[i4]
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  - journals/corr/abs-2410-16935
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Dominik Fuchsgruber, Tim Postuvan, Stephan Günnemann, Simon Geisler:
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance. CoRR abs/2410.16935 (2024)
2022
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  - journals/corr/abs-2203-16162
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Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec:
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective. CoRR abs/2203.16162 (2022)
[i2]
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  - journals/corr/abs-2211-13331
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Frano Rajic, Ivan Stresec, Axel Marmet, Tim Postuvan:
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference. CoRR abs/2211.13331 (2022)
2020
[i1]
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  - journals/corr/abs-2008-00308
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Tim Postuvan, Semir Salkic, Lovro Subelj:
Learning-based link prediction analysis for Facebook100 network. CoRR abs/2008.00308 (2020)

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