10 Result(s)
within
Article
Danai Koutra
-
Article
A hidden challenge of link prediction: which pairs to check?
The traditional setup of link prediction in networks assumes that a test set of node pairs, which is usually balanced, is available over which to predict the presence of links. However, in practice, there is n...
-
Article
t-PINE: tensor-based predictable and interpretable node embeddings
Graph representations have increasingly grown in popularity during the last years. Existing representation learning approaches explicitly encode network structure. Despite their good performance in downstream ...
-
Article
Fast network discovery on sequence data via time-aware hashing
Discovering and analyzing networks from non-network data is a task with applications in fields as diverse as neuroscience, genomics, climate science, economics, and more. In domains where networks are discover...
-
Article
Open AccessSURREAL: Subgraph Robust Representation Learning
The success of graph embeddings or nodrepresentation learning in a variety of downstream tasks, such as node classification, link prediction, and recommendation systems, has led to their popularity in recent y...
-
Article
Collaborative topic regression for predicting topic-based social influence
The rapid growth of social networks and their strong presence in our lives have attracted many researchers in social networks analysis. Users of social networks spread their opinions, get involved in discussio...
-
Article
On effective and efficient graph edge labeling
Graphs, such as social, road and information networks, are ubiquitous as they naturally model entities and their relationships. Many query processing tasks on graphs are concerned about efficiently accessing n...
-
Article
Reducing large graphs to small supergraphs: a unified approach
Summarizing a large graph with a much smaller graph is critical for applications like speeding up intensive graph algorithms and interactive visualization. In this paper, we propose CONditional Diversified Net...
-
Article
Facebook wall posts: a model of user behaviors
How do people interact with their Facebook wall? At a high level, this question captures the essence of our work. While most prior efforts focus on Twitter, the much fewer Facebook studies focus on the friends...
-
Article
Discovery of “comet” communities in temporal and labeled graphs Com \(^2\)
While the analysis of unlabeled networks has been studied extensively in the past, finding patterns in different kinds of labeled graphs is still an open challenge. Given a large edge-labeled network, e.g., a ...
-
Article
Graph based anomaly detection and description: a survey
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas such as security, finance, health care, and law enforcement. While numerous techniques have been developed in past y...
