37 citations · 68 across the 11 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Revisiting the Necessity of Graph Learning and Common Graph Benchmarks
Isay Katsman, Ethan Lou, Anna Gilbert
Graph machine learning has enjoyed a meteoric rise in popularity since the introduction of deep learning in graph contexts. This is no surprise due to the ubiquity of graph data in…
cs.LG2024
Shedding Light on Problems with Hyperbolic Graph Learning
Isay Katsman, Anna Gilbert
Recent papers in the graph machine learning literature have introduced a number of approaches for hyperbolic representation learning. The asserted benefits are improved performance…