2 citations · 2 across the 3 of their papers we have counts for
3 papers
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna +70
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learnin…
Topology-Informed Graph Transformer
Yun Young Choi, Sun Woo Park, Minho Lee +1
Transformers have revolutionized performance in Natural Language Processing and Vision, paving the way for their integration with Graph Neural Networks (GNNs). One key challenge in…
Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
Minho Lee, Yun Young Choi, Sun Woo Park +3
Graph Neural Networks (GNNs) and Transformer-based models have been increasingly adopted to learn the complex vector representations of spatio-temporal graphs, capturing intricate…