98 citations · 527 across the 30 of their papers we have counts for
5 papers · 1 filter
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network
Maosen Li, Siheng Chen, Yanning Shen +3
This paper considers predicting future statuses of multiple agents in an online fashion by exploiting dynamic interactions in the system. We propose a novel collaborative predictio…
Online Learning with Uncertain Feedback Graphs
Pouya M Ghari, Yanning Shen
Online learning with expert advice is widely used in various machine learning tasks. It considers the problem where a learner chooses one from a set of experts to take advice and m…
Fairness-Aware Node Representation Learning
Öykü Deniz Köse, Yanning Shen
Node representation learning has demonstrated its effectiveness for various applications on graphs. Particularly, recent developments in contrastive learning have led to promising…
Multiple Kernel Representation Learning on Networks
Abdulkadir Celikkanat, Yanning Shen, Fragkiskos D. Malliaros
Learning representations of nodes in a low dimensional space is a crucial task with numerous interesting applications in network analysis, including link prediction, node classific…
Graph-Aided Online Multi-Kernel Learning
Pouya M Ghari, Yanning Shen
Multi-kernel learning (MKL) has been widely used in function approximation tasks. The key problem of MKL is to combine kernels in a prescribed dictionary. Inclusion of irrelevant k…