RBF-GNN: Rational Basis Functions for Pseudo-Coordinate based Graph Convolutions

arXiv:2609.37015 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-30

Code: https://github.com/pawelswoboda/RationalBasisCNN

Terminology

Accuracy — 17× in this paper · explained in 1 episode
Aggregation — 13× in this paper · explained in 1 episode
Benchmark — 10× in this paper · explained in 2 episodes
Computer Vision and Pattern Recognition — 5× in this paper
Activation Function — 4× in this paper · explained in 1 episode
Transformer — 4× in this paper · explained in 2 episodes
Generative AI — 3× in this paper · explained in 2 episodes
In International Conference on Learning Representations — 3× in this paper
Point Clouds — 3× in this paper · explained in 2 episodes
Ablation — 2× in this paper · explained in 1 episode
Chebyshev Polynomials — 2× in this paper · explained in 2 episodes
In International Conference on Machine Learning — 2× in this paper
Normalized Matching Transformer — 2× in this paper
Ablation study — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
IEEE International Conference on Computer Vision — 1× in this paper
Parameter Efficiency — 1× in this paper · explained in 3 episodes
Trace — 1× in this paper · explained in 2 episodes

Sources

SPair-71k: A Large-scale Benchmark for Semantic Correspondence

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