SEIGN: A Simple and Efficient Graph Neural Network for Large Dynamic Graphs
- Xiao Qin
- Nasrullah Sheikh
- et al.
- 2023
- ICDE 2023
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48 results for Berthold Reinwald
Scaling knowledge graph embedding models for link prediction
- Nasrullah Sheikh
- Xiao Qin
- et al.
- 2022
- EuroMLSys 2022
Adaptive multi-model reinforcement learning for online database tuning
- Yaniv Gur
- Dongsheng Yang
- et al.
- 2021
- EDBT 2021
An integrated graph neural network for supervised non-obvious relationship detection in knowledge graphs
- Phillipp Müller
- Xiao Qin
- et al.
- 2020
- EDBT 2020
Learning electronic health records through hyperbolic embedding of medical ontologies
- Qiuhao Lu
- Nisansa De Silva
- et al.
- 2019
- ACM-BCB 2019
MNC: Structure-exploiting sparsity estimation for matrix expressions
- Johanna Sommer
- Matthias Boehm
- et al.
- 2019
- SIGMOD 2019
Efficient data-parallel cumulative aggregates for large-scale machine learning
- Matthias Boehm
- Alexandre V. Evfimievski
- et al.
- 2019
- BTW/DBIS 2019
Compressed linear algebra for declarative large-scale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2019
- CACM
On optimizing operator fusion plans for largeScale Machine Learning in System ML
- Matthias Boehm
- Berthold Reinwald
- et al.
- 2018
- VLDB
Compressed linear algebra for large-scale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2017
- VLDB Journal