classification and clustering is beneficial. Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of ...

GNN, a framework to train robust GNNs under noisy conditions. Soft-GNN mitigates label noise impact through dynamic ...

By now, the classification of various forms of analytics ... focusing on a specific data structure: graphs. What is the optimal way to go through a number of bridges? The history of graph theory ...