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  1. No Access

    Chapter and Conference Paper

    Structural Node Embedding in Signed Social Networks: Finding Online Misbehavior at Multiple Scales

    Entities in networks may interact positively as well as negatively with each other, which may be modeled by a signed network containing both positive and negative edges between nodes. Understanding how entities b...

    Mark Heimann, Goran Murić, Emilio Ferrara in Complex Networks & Their Applications IX (2021)

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    Chapter and Conference Paper

    node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching

    Identity stitching, the task of identifying and matching various online references (e.g., sessions over different devices and timespans) to the same user in real-world web services, is crucial for personalizatio...

    Di **, Mark Heimann, Ryan A. Rossi… in Machine Learning and Knowledge Discovery i… (2020)

  3. No Access

    Chapter and Conference Paper

    HashAlign: Hash-Based Alignment of Multiple Graphs

    Fusing or aligning two or more networks is a fundamental building block of many graph mining tasks (e.g., recommendation systems, link prediction, collective analysis of networks). Most past work has focused o...

    Mark Heimann, Wei Lee, Shengjie Pan… in Advances in Knowledge Discovery and Data M… (2018)