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Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
We present InfoMotif, a new semi-supervised, motif-regularized, learning...
09/11/2020 ∙ by Aravind Sankar, et al. ∙
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GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
We study the problem of making item recommendations to ephemeral groups,...
06/05/2020 ∙ by Aravind Sankar, et al. ∙
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Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Recent years have witnessed tremendous interest in understanding and pre...
01/01/2020 ∙ by Aravind Sankar, et al. ∙
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Dynamic Graph Representation Learning via Self-Attention Networks
Learning latent representations of nodes in graphs is an important and u...
12/22/2018 ∙ by Aravind Sankar, et al. ∙
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Unsupervised Extraction of Representative Concepts from Scientific Literature
This paper studies the automated categorization and extraction of scient...
10/06/2017 ∙ by Adit Krishnan, et al. ∙
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