Curve Your Attention: Mixed-Curvature Transformers for Graph
Representation Learning

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning

8 September 2023

Hankook Lee

Papers citing "Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning"

9 / 9 papers shown

Title
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries Neil He Jiahong Liu Buze Zhang N. Bui Ali Maatouk Menglin Yang Irwin King Melanie Weber Rex Ying 29 0 0 11 Apr 2025
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT) Benjamin J. Choi 54 1 0 07 Feb 2025
Geometric Machine Learning on EEG Signals Benjamin J. Choi 42 1 0 07 Feb 2025
Spectro-Riemannian Graph Neural Networks Karish Grover Haiyang Yu Xiang Song Qi Zhu Han Xie V. Ioannidis Christos Faloutsos 57 1 0 01 Feb 2025
Mixed-Curvature Decision Trees and Random Forests Philippe Chlenski Quentin Chu I. Pe’er 34 1 0 07 Jun 2024
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost Sungjun Cho Seonwoo Min Jinwoo Kim Moontae Lee Honglak Lee Seunghoon Hong 30 3 0 27 Oct 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 49 23 0 02 Feb 2022
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Jia Wu Yanan Cao Bin Wang 56 90 0 23 Oct 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,072 0 13 Feb 2020