Higher-order Representation
Higher-Order Representation is a type of mental representation that involves the explicit encoding of relationships, structures, or patterns among lower-order representations, enabling the systematic recombination and generalization of cognitive content through hierarchical abstraction.
193
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11.5K
Citations
468
Authors
266
Institutions
Publications per year
2017–2026
52
Parents
193
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
Christopher Morris, Martin Ritzert, Matthias Fey et al. · 2019 · 1.2K citations
Global Second-Order Pooling Convolutional Networks
Zilin Gao, Jiangtao Xie, Qilong Wang et al. · 2019 · 486 citations
Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry
Bruno Lévy · 2006 · 428 citations · Full text
Poselet Conditioned Pictorial Structures
Leonid Pishchulin, Mykhaylo Andriluka, Peter Gehler et al. · 2013 · 386 citations
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266
Carnegie Mellon University
Pittsburgh, United States
6 h-index
8 publications
461 citations
Harvard University
Cambridge, United States
5 h-index
8 publications
580 citations
RWTH Aachen University
Aachen, Germany
4 h-index
10 publications
4.1K citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
200 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
6 publications
199 citations
Microsoft (United States)
Redmond, United States
4 h-index
8 publications
421 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
7 publications
164 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
7 publications
331 citations
1–8 of 266
Repository · 8 publications · 200 citations
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Conference · 4 publications · 260 citations
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3 publications · 77 citations
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3 publications · 141 citations
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3 publications · 91 citations
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