30 citations · 67 across the 4 of their papers we have counts for
4 papers
Graph Perceiver IO: A General Architecture for Graph Structured Data
Seyun Bae, Hoyoon Byun, Changdae Oh +2
Multimodal machine learning has been widely studied for the development of general intelligence. Recently, the Perceiver and Perceiver IO, show competitive results for diverse data…
Latent Space Model for Multi-Modal Social Data
Yoon-Sik Cho, Greg Ver Steeg, Emilio Ferrara +1
With the emergence of social networking services, researchers enjoy the increasing availability of large-scale heterogenous datasets capturing online user interactions and behavior…
Latent Self-Exciting Point Process Model for Spatial-Temporal Networks
Yoon-Sik Cho, Aram Galstyan, P. Jeffrey Brantingham +1
We propose a latent self-exciting point process model that describes geographically distributed interactions between pairs of entities. In contrast to most existing approaches that…
Co-evolution of Selection and Influence in Social Networks
Yoon-Sik Cho, Greg Ver Steeg, Aram Galstyan
Many networks are complex dynamical systems, where both attributes of nodes and topology of the network (link structure) can change with time. We propose a model of co-evolving net…