graphs-1
Set-to-Graph Prediction
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
Seunghoon Hong, Jinwoo Kim, Saeyoon Oh•Tue Oct 26 2021
This work presents sparse second-order Transformers with kernel attention that achieve significant performance improvement over invariant MLPs and message-passing graph neural networks in large-scale graph regression and set-to-(hyper)graph prediction tasks.
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