most citedLearning Graph Neural Networks with Noisy Labels

23 citations · 23 across the 1 of their papers we have counts for

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cs.LG2019★ 23 cited

Learning Graph Neural Networks with Noisy Labels

Hoang NT, Choong Jun Jin, Tsuyoshi Murata

We study the robustness to symmetric label noise of GNNs training procedures. By combining the nonlinear neural message-passing models (e.g. Graph Isomorphism Networks, GraphSAGE,…