179 citations · 329 across the 13 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 12 cited
SortNet: Learning To Rank By a Neural-Based Sorting Algorithm
Leonardo Rigutini, Tiziano Papini, Marco Maggini +1
The problem of relevance ranking consists of sorting a set of objects with respect to a given criterion. Since users may prefer different relevance criteria, the ranking algorithms…
cs.LG2023★ 33 cited
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Antonio Longa, Veronica Lachi, Gabriele Santin +5
Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static) graph-structured data. However, many real-world systems are dynamic in nature, since the grap…