We present the Long Range Graph Benchmark (LRGB) with 5 graph learning datasets that arguably require long-range reasoning to achieve strong performance in a given task. For a reassessment of the ...

Frequency-domain adaptive filtering is appealing in many applications, particularly channel equalization. This paper presents frequency-domain set-membership filtering (F-SMF) and derives adaptive ...

Graph embedding aims at learning vertex representations in a low-dimensional space by distilling information from a complex-structured graph. Recent efforts in graph embedding have been devoted to ...