98 citations · 127 across the 5 of their papers we have counts for
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cs.SI2020
Revisiting graph neural networks and distance encoding from a practical view
Haoteng Yin, Yanbang Wang, Pan Li
Graph neural networks (GNNs) are widely used in the applications based on graph structured data, such as node classification and link prediction. However, GNNs are often used as a…
cs.LG2020★ 98 cited
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li, Yanbang Wang, Hongwei Wang +1
Learning representations of sets of nodes in a graph is crucial for applications ranging from node-role discovery to link prediction and molecule classification. Graph Neural Netwo…