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09/03/2023
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems
Modern neural collaborative filtering techniques are critical to the suc...
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01/24/2023
Audience-Centric Natural Language Generation via Style Infusion
Adopting contextually appropriate, audience-tailored linguistic styles i...
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09/11/2020
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
We present InfoMotif, a new semi-supervised, motif-regularized, learning...
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05/21/2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
The rapid proliferation of new users and items on the social web has agg...
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01/01/2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Recent years have witnessed tremendous interest in understanding and pre...
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11/16/2019
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
This paper addresses the question of identifying the best candidate answ...
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11/30/2017
Improving Latent User Models in Online Social Media
Modern social platforms are characterized by the presence of rich user-b...
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10/06/2017
