7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.CV2022★ 7 cited
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
Zhaoliang Chen, Lele Fu, Jie Yao +3
In practical applications, multi-view data depicting objectives from assorted perspectives can facilitate the accuracy increase of learning algorithms. However, given multi-view da…
cs.LG2020
Massively Parallel Graph Drawing and Representation Learning
Christian Böhm, Claudia Plant
To fully exploit the performance potential of modern multi-core processors, machine learning and data mining algorithms for big data must be parallelized in multiple ways. Today's…
cs.LG2020
Incorporating User's Preference into Attributed Graph Clustering
Wei Ye, Dominik Mautz, Christian Boehm +2
Graph clustering has been studied extensively on both plain graphs and attributed graphs. However, all these methods need to partition the whole graph to find cluster structures. S…