most citedBag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

Contrastive Learning for Time Series on Dynamic Graphs

Yitian Zhang, Florence Regol, Antonios Valkanas +1

There have been several recent efforts towards developing representations for multivariate time-series in an unsupervised learning framework. Such representations can prove benefic…

cs.LG2022★ 4 cited

Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks

Soumyasundar Pal, Antonios Valkanas, Florence Regol +1

Multiple Instance Learning (MIL) is a weakly supervised learning problem where the aim is to assign labels to sets or bags of instances, as opposed to traditional supervised learni…