activity
20162024
most citedBoosting Nodes for Improving the Spread of Influence

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024

On Explaining Unfairness: An Overview

Christos Fragkathoulas, Vasiliki Papanikou, Danae Pla Karidi +1

Algorithmic fairness and explainability are foundational elements for achieving responsible AI. In this paper, we focus on their interplay, a research area that is recently receivi…

cs.SI2024

The GraphTempo Framework for Exploring the Evolution of a Graph through Pattern Aggregation

Evangelia Tsoukanara, Georgia Koloniari, Evaggelia Pitoura +1

When the focus is on the relationships or interactions between entities, graphs offer an intuitive model for many real-world data. Such graphs are usually large and change over tim…

cs.SI2024

Skyline-based exploration of temporal property graphs

Evangelia Tsoukanara, Georgia Koloniari, Evaggelia Pitoura

In this paper, we focus on temporal property graphs, that is, property graphs whose labeled nodes and edges as well as the values of the properties associated with them may change…

cs.SI2023

TempoGRAPHer: Aggregation Based Temporal Graph Exploration

Evangelia Tsoukanara, Georgia Koloniari, Evaggelia Pitoura

Graphs offer a generic abstraction for modeling entities, and the interactions and relationships between them. Most real world graphs, such as social and cooperation networks evolv…

cs.SI20164 cited

Boosting Nodes for Improving the Spread of Influence

Konstantinos Liontis, Evaggelia Pitoura

Information diffusion in networks has received a lot of recent attention. Most previous work addresses the influence maximization problem of selecting an appropriate set of seed no…