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Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning
8 September 2023
Sungjun Cho
Seunghyuk Cho
Sungwoo Park
Hankook Lee
Ho Hin Lee
Moontae Lee
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Papers citing
"Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning"
7 / 7 papers shown
Title
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)
Benjamin J. Choi
49
1
0
07 Feb 2025
Geometric Machine Learning on EEG Signals
Benjamin J. Choi
42
1
0
07 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
167
1,072
0
13 Feb 2020
1