23 citations · 24 across the 7 of their papers we have counts for
7 papers
Text-Guided Alternative Image Clustering
Andreas Stephan, Lukas Miklautz, Collin Leiber +4
Traditional image clustering techniques only find a single grouping within visual data. In particular, they do not provide a possibility to explicitly define multiple types of clus…
Text-Guided Image Clustering
Andreas Stephan, Lukas Miklautz, Kevin Sidak +4
Image clustering divides a collection of images into meaningful groups, typically interpreted post-hoc via human-given annotations. Those are usually in the form of text, begging t…
Spectral Clustering of Attributed Multi-relational Graphs
Ylli Sadikaj, Yllka Velaj, Sahar Behzadi +1
Graph clustering aims at discovering a natural grouping of the nodes such that similar nodes are assigned to a common cluster. Many different algorithms have been proposed in the l…
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Zhaoliang Chen, Zhihao Wu, Luying Zhong +3
Heterogeneous graph neural networks aim to discover discriminative node embeddings and relations from multi-relational networks.One challenge of heterogeneous graph learning is the…
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Zhaoliang Chen, Zhihao Wu, Zhenghong Lin +3
Graph Convolutional Network (GCN) with the powerful capacity to explore graph-structural data has gained noticeable success in recent years. Nonetheless, most of the existing GCN-b…
High performance computing on Android devices -- a case study
Robert Fritze, Claudia Plant
High performance computing for low power devices can be useful to speed up calculations on processors that use a lower clock rate than computers for which energy efficiency is not…