Hierarchical Data Encoding
Hierarchical Data Encoding is a computational method that structurally represents data by preserving and encoding parent-child relationships among entities in a multi-level hierarchy to facilitate visual exploration and analytical reasoning.
23
Publications
1.2K
Citations
74
Authors
38
Institutions
Publications per year
2017–2026
7
23
Patrick E. O׳Neil, Elizabeth O’Neil, Shankar Pal et al. · 2004 · 382 citations
Hierarchical Multi-modal Contextual Attention Network for Fake News Detection
Shengsheng Qian, Jinguang Wang, Jun Hu et al. · 2021 · 249 citations
Efficient subtyping tests with PQ-encoding
Yoav Zibin, Joseph Gil · 2001 · 51 citations
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Goddard Space Flight Center
Greenbelt, United States
2 h-index
5 publications
78 citations
Microsoft (United States)
Redmond, United States
2 h-index
10 publications
1.7K citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
4 publications
136 citations

Universities Space Research Association
Columbia, United States
2 h-index
2 publications
31 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
3 publications
69 citations
University of Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
747 citations
University of Illinois Chicago
Chicago, United States
1 h-index
1 publications
19 citations
University of Florence
Florence, Italy
1 h-index
3 publications
33 citations
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1 publications · 12 citations
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1 publications · 47 citations
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1 publications · 14 citations
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TVCG · 1 publications · 17 citations
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1 publications · 41 citations
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