3 papers
cs.SI2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Aravind Sankar, Xinyang Zhang, Adit Krishnan +1
Recent years have witnessed tremendous interest in understanding and predicting information spread on social media platforms such as Twitter, Facebook, etc. Existing diffusion pred…
cs.LG2018
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar, Yanhong Wu, Liang Gou +2
Learning latent representations of nodes in graphs is an important and ubiquitous task with widespread applications such as link prediction, node classification, and graph visualiz…
cs.IR2017
Unsupervised Extraction of Representative Concepts from Scientific Literature
Adit Krishnan, Aravind Sankar, Shi Zhi +1
This paper studies the automated categorization and extraction of scientific concepts from titles of scientific articles, in order to gain a deeper understanding of their key contr…