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20082025
most citedTransferring Robustness for Graph Neural Network Against Poisoning Attacks

192 citations · 872 across the 37 of their papers we have counts for

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8 papers · 1 filter

cs.LG2022

Forecasting User Interests Through Topic Tag Predictions in Online Health Communities

Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar +6

The increasing reliance on online communities for healthcare information by patients and caregivers has led to the increase in the spread of misinformation, or subjective, anecdota…

cs.LG2022★ 34 cited

Federated Unlearning with Knowledge Distillation

Chen Wu, Sencun Zhu, Prasenjit Mitra

Federated Learning (FL) is designed to protect the data privacy of each client during the training process by transmitting only models instead of the original data. However, the tr…

cs.LG2021

An Analysis of Elephants' Movement Data in Sub-Saharan Africa Using Clustering

Gregory Glatzer, Prasenjit Mitra, Johnson Kinyua

Understanding the movement of animals is crucial to conservation efforts. Past research often focuses on factors affecting movement, rather than locations of interest that animals…

cs.LG2021

Learning To Describe Player Form in The MLB

Connor Heaton, Prasenjit Mitra

Major League Baseball (MLB) has a storied history of using statistics to better understand and discuss the game of baseball, with an entire discipline of statistics dedicated to th…

cs.LG2020★ 96 cited

Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks

Xianfeng Tang, Huaxiu Yao, Yiwei Sun +5

Graph Convolutional Networks (GCNs) show promising results for semi-supervised learning tasks on graphs, thus become favorable comparing with other approaches. Despite the remarkab…

cs.LG2019★ 13 cited

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values

Xianfeng Tang, Huaxiu Yao, Yiwei Sun +3

Multivariate time series (MTS) forecasting is widely used in various domains, such as meteorology and traffic. Due to limitations on data collection, transmission, and storage, rea…