Introduction to Graph Neural Networks

Preface.- Acknowledgments.- Introduction.- Basics of Math and Graph.- Basics of Neural Networks.- Vanilla Graph Neural Networks.- Graph Convolutional Networks.- Graph Recurrent Networks.- Graph Attention Networks.- Graph Residual Networks.- Variants for Different Graph Types.- Variants for Advanced Training Methods.- General Frameworks.- Applications -- Structural Scenarios.- Applications -- Non-Structural Scenarios.- Applications -- Other Scenarios.- Open Resources.- Conclusion.- Bibliography.- Authors' Biographies.