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20202022
most citedGraph Kernels: State-of-the-Art and Future Challenges

61 citations · 113 across the 6 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022★ 2 cited

Taxonomy of Benchmarks in Graph Representation Learning

Renming Liu, Semih Cantürk, Frederik Wenkel +9

Graph Neural Networks (GNNs) extend the success of neural networks to graph-structured data by accounting for their intrinsic geometry. While extensive research has been done on de…

stat.ML2022★ 46 cited

Structure-Aware Transformer for Graph Representation Learning

Dexiong Chen, Leslie O'Bray, Karsten Borgwardt

The Transformer architecture has gained growing attention in graph representation learning recently, as it naturally overcomes several limitations of graph neural networks (GNNs) b…