129 citations · 314 across the 16 of their papers we have counts for
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cs.LG2019★ 15 cited
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk +2
In this work, we focus on the problem of entity alignment in Knowledge Graphs (KG) and we report on our experiences when applying a Graph Convolutional Network (GCN) based model fo…
cs.CV2019
Improving Visual Relation Detection using Depth Maps
Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf +2
Visual relation detection methods rely on object information extracted from RGB images such as 2D bounding boxes, feature maps, and predicted class probabilities. We argue that dep…