Graph Regression is a machine learning task that belongs to the broader category of graph-based learning, in which the objective is to predict continuous real-valued outputs associated with nodes, edges, or entire graphs by leveraging the structural and feature information encoded in graph-structured data.
87
Publications
5.4K
Citations
322
Authors
134
Institutions
Publications per year
2017–2026
54
Parents
Publications
87
Semantic Graph Convolutional Networks for 3D Human Pose Regression
2019 · 496 citations · Full text
Xavier Bresson, Thomas Laurent · arXiv (Cornell University) · 2017 · 249 citations · Full text
1–5 of 87
Authors
322
- JS
3
h-index
- CA
3
h-index
- DG
3
h-index
- DA
3
h-index
- GE
2
h-index
1–5 of 322
Institutions
134
Carnegie Mellon University
Pittsburgh, United States
7 h-index
18 publications
573 citations
Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
261 citations
Peking University
Beijing, China
5 h-index
17 publications
1.1K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
6 publications
575 citations
Stanford University
Stanford, United States
3 h-index
5 publications
114 citations
Trinity College
Hartford, United States
2 h-index
2 publications
84 citations
Hartford Financial Services (United States)
Hartford, United States
2 h-index
2 publications
84 citations
Politecnico di Milano
Milan, Italy
2 h-index
2 publications
641 citations
1–8 of 134
Venues
- arXiv (Cornell University)
Repository · 20 publications · 1.2K citations
16
h-index
- IEEE Transactions on Neural Networks and Learning Systems
3 publications · 184 citations
3
h-index
- IEEE Transactions on Image Processing
2 publications · 92 citations
2
h-index
- The Annals of Applied Statistics
AOAS · 2 publications · 165 citations
2
h-index
- Conference on Learning Theory
Conference · 2 publications · 50 citations
2
h-index
1–5