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

Authors

83

  1. ML
    Mary Lou Soffa

    University of Pittsburgh, United States

    4 publications · 92 citations

    4

    h-index

  2. IS
    Ilya Shpitser

    Johns Hopkins University, United States

    3 publications · 67 citations

    3

    h-index

  3. RG
    Rajiv Gupta

    University of California, Riverside, United States

    3 publications · 80 citations

    3

    h-index

  4. JN
    Jian Ni

    Nankai University, China

    2 publications · 115 citations

    2

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  5. ML
    Mathieu Leconte

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 115 citations

    2

    h-index

1–5 of 83

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 2 publications · 95 citations

    2

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  2. Software Practice and Experience

    2 publications · 28 citations

    2

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  3. PubMed

    Repository · 2 publications · 56 citations

    2

    h-index

  4. ACM Transactions on Embedded Computing Systems

    TECS · 1 publications · 16 citations

    1

    h-index

  5. IEEE Communications Letters

    1 publications · 10 citations

    1

    h-index

1–5