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Joël Mathys

2 accepted papers

2026

LRIM: a Physics-Based Benchmark for Provably Evaluating Long-Range Capabilities in Graph Learning

ICLR 2026poster

Accurately modeling long-range dependencies in graph-structured data is critical for many real-world applications. However, incorporating long-range interactions beyond the nodes' immediate neighborhood in a $\textit{scalable}$ manner remains an open challenge for graph machine learning models. Exis…

Cited by 0SourceScholar
2024

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs

ICLR 2024poster

Graph Visualization, also known as Graph Drawing, aims to find geometric embeddings of graphs that optimize certain criteria. Stress is a widely used metric; stress is minimized when every pair of nodes is positioned at their shortest path distance. However, stress optimization presents computationa…