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cs.LG2024
Active Learning for Graphs with Noisy Structures
Hongliang Chi, Cong Qi, Suhang Wang +1
Graph Neural Networks (GNNs) have seen significant success in tasks such as node classification, largely contingent upon the availability of sufficient labeled nodes. Yet, the exce…
cs.LG2017★ 2 cited
Crowdsourcing with Sparsely Interacting Workers
Yao Ma, Alex Olshevsky, Venkatesh Saligrama +1
We consider estimation of worker skills from worker-task interaction data (with unknown labels) for the single-coin crowd-sourcing binary classification model in symmetric noise. W…