Compatibility Matrix Development
Compatibility Matrix Development is a systematic methodological framework used in waste management to categorize and predict interactions among waste constituents by identifying compatible and incompatible combinations based on physicochemical properties, safety regulations, and environmental risk criteria.
14
Publications
694
Citations
40
Authors
26
Institutions
Publications per year
2017–2026
4
Parents
14
Graph Neural Networks with Heterophily
Jiong Zhu, Ryan A. Rossi, Anup Rao et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 206 citations · Full text
1–5 of 14
40
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26

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
4 publications
116 citations

Indian Institute of Science Bangalore
Bengaluru, India
1 h-index
1 publications
17 citations
Northumbria University
Newcastle upon Tyne, United Kingdom
1 h-index
1 publications
26 citations

Field Museum of Natural History
Chicago, United States
1 h-index
1 publications
85 citations

University of North Carolina at Greensboro
Greensboro, United States
1 h-index
1 publications
21 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
38 citations
University of Michigan
Ann Arbor, United States
1 h-index
2 publications
412 citations
Georgia State University
Atlanta, United States
1 h-index
1 publications
11 citations
1–8 of 26
1 publications · 17 citations
1
h-index
1 publications · 11 citations
1
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1 publications · 37 citations
1
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1 publications · 85 citations
1
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1 publications · 21 citations
1
h-index
1–5