Harnessing Trust in Directed Graphs: Redefining Robustness of Graph Learning
The findings show that the trust signals encoded in directed graphs can be harnessed to substantially improve the robustness of GNNs and point to a novel and promising direction for strengthening the robustness of graph deep learning.