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