Graphs are used to model complex systems, and GNNs provide a way to analyze and make predictions based on the structure of the graph. GNNs are a type of deep-learning algorithm that can operate on ...

Google's Gary Illyes confirmed that Google uses a form of MUVERA but appeared to be less clear about Graph Foundation Model ...

node embedding with graph neural networks (GNNs), message passing framework, extension to graph-level embedding, practical hints for GNNs, relation to approximate graph isomorphism tests, ...

Experiments show that their model outperforms all the baselines in both single- and multi-label node classification tasks in terms of test accuracies. Visualization results also indicate that D2 ...