ملف الباحث
Stefan Weißenberger
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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Diffusion Improves Graph Learning
2019 · arXiv (Cornell University)
Graph convolution is the core of most Graph Neural Networks (GNNs) and usually approximated by message passing between direct (one-hop) neighbors. In this work, we remove the restriction of using only the direct neighbors by …