94 citations · 328 across the 28 of their papers we have counts for
7 papers · 1 filter
The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks
Akrati Saxena, Yulong Pei, Jan Veldsink +3
We construct a network of 1.6 million nodes from banking transactions of users of Rabobank. We assign two weights on each edge, which are the aggregate transferred amount and the t…
GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology
Seiji Maekawa, Yuya Sasaki, George Fletcher +1
Generating large synthetic attributed graphs with node labels is an important task to support various experimental studies for graph analysis methods. Existing graph generators fai…
A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs
Wilco van Leeuwen, George Fletcher, Nikolay Yakovets
Many techniques have been developed for the cardinality estimation problem in data management systems. In this document, we introduce a framework for cardinality estimation of quer…
Threshold Queries in Theory and in the Wild
Angela Bonifati, Stefania Dumbrava, George Fletcher +7
Threshold queries are an important class of queries that only require computing or counting answers up to a specified threshold value. To the best of our knowledge, threshold queri…
[Technical Report] Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation
Kyoungmin Kim, Hyeonji Kim, George Fletcher +1
Graph pattern cardinality estimation is the problem of estimating the number of embeddings of a query graph in a data graph. This fundamental problem arises, for example, during qu…
How Fair is Fairness-aware Representative Ranking and Methods for Fair Ranking
Akrati Saxena, George Fletcher, Mykola Pechenizkiy
Rankings of people and items has been highly used in selection-making, match-making, and recommendation algorithms that have been deployed on ranging of platforms from employment w…
NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction
Akrati Saxena, George Fletcher, Mykola Pechenizkiy
In real-world complex networks, understanding the dynamics of their evolution has been of great interest to the scientific community. Predicting future links is an essential task o…