Interference Graphs
Interference Graphs is a formal graphical model used in causal inference to represent and analyze treatment spillover effects by encoding dependencies among units' potential outcomes under interference, distinguishing it from standard causal graphs through explicit representation of cross-unit causal pathways.
31
Publications
1.1K
Citations
83
Authors
63
Institutions
Publications per year
2017–2026
6
31
Fast mixing of parallel Glauber dynamics and low-delay CSMA scheduling
Libin Jiang, Mathieu Leconte, Jian Ni et al. · 2011 · 59 citations
1–5 of 31
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Institut national de recherche en sciences et technologies du numérique, France
2 publications · 115 citations
2
h-index
1–5 of 83
63
University of Pittsburgh
Pittsburgh, United States
4 h-index
6 publications
154 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
4 publications
149 citations

Johns Hopkins University
Baltimore, United States
3 h-index
7 publications
150 citations
Nanjing University of Science and Technology
Nanjing, China
2 h-index
4 publications
140 citations
AT&T (United States)
Bedminster, United States
2 h-index
2 publications
49 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
115 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
51 citations

Philadelphia University
Philadelphia, United States
2 h-index
2 publications
51 citations
1–8 of 63
TON · 2 publications · 95 citations
2
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2 publications · 28 citations
2
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Repository · 2 publications · 56 citations
2
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TECS · 1 publications · 16 citations
1
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1 publications · 10 citations
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