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Zhenbang You

2 accepted papers

2022

Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels

ICLR 2022poster

Graph Neural Networks (GNNs) have achieved great success in various tasks, but their performance highly relies on a large number of labeled nodes, which typically requires considerable human effort. GNN-based Active Learning (AL) methods are proposed to improve the labeling efficiency by selecting t…

2021

RIM: Reliable Influence-based Active Learning on Graphs

NeurIPS 2021spotlight

Message passing is the core of most graph models such as Graph Convolutional Network (GCN) and Label Propagation (LP), which usually require a large number of clean labeled data to smooth out the neighborhood over the graph. However, the labeling process can be tedious, costly, and error-prone in pr…