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Yang, Maosheng (author), Isufi, E. (author), Leus, G.J.T. (author)
Graphs can model networked data by representing them as nodes and their pairwise relationships as edges. Recently, signal processing and neural networks have been extended to process and learn from data on graphs, with achievements in tasks like graph signal reconstruction, graph or node classifications, and link prediction. However, these...
conference paper 2022