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15 papers · 1 filter
Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning
Bhavtosh Rath, Aadesh Salecha, Jaideep Srivastava
An important aspect of preventing fake news dissemination is to proactively detect the likelihood of its spreading. Research in the domain of fake news spreader detection has not b…
TurboKV: Scaling Up The Performance of Distributed Key-Value Stores With In-Switch Coordination
Hebatalla Eldakiky, David Hung-Chang Du, Eman Ramadan
The power and flexibility of software-defined networks lead to a programmable network infrastructure in which in-network computation can help accelerating the performance of applic…
RKT : Relation-Aware Self-Attention for Knowledge Tracing
Shalini Pandey, Jaideep Srivastava
The world has transitioned into a new phase of online learning in response to the recent Covid19 pandemic. Now more than ever, it has become paramount to push the limits of online…
Forecasting with Multiple Seasonality
Tianyang Xie, Jie Ding
An emerging number of modern applications involve forecasting time series data that exhibit both short-time dynamics and long-time seasonality. Specifically, time series with multi…
Saliency Prediction with External Knowledge
Yifeng Zhang, Ming Jiang, Qi Zhao
The last decades have seen great progress in saliency prediction, with the success of deep neural networks that are able to encode high-level semantics. Yet, while humans have the…
Causal Effects in Twin Studies: the Role of Interference
Bonnie Smith, Elizabeth L. Ogburn, Matt McGue +2
The use of twins designs to address causal questions is becoming increasingly popular. A standard assumption is that there is no interference between twins---that is, no twin's exp…