Selecting relevant data subsets from large, unfamiliar datasets can be
d...
In this work, we introduce a hypergraph representation learning framewor...
Learning fair graph representations for downstream applications is becom...
Temporal networks model a variety of important phenomena involving timed...
Online shopping gives customers boundless options to choose from, backed...
Designing responsive visualizations can be cast as applying transformati...
Causality is crucial to understanding the mechanisms behind complex syst...
Event sequence data record series of discrete events in the time order o...
Anomaly detection is a common analytical task that aims to identify rare...