Chapter 6. Classification =========================== .. image:: https://img.shields.io/github/forks/graph4ai/graph4nlp?style=social :target: https://github.com/graph4ai/graph4nlp/fork .. image:: https://img.shields.io/github/stars/graph4ai/graph4nlp?style=social :target: https://github.com/graph4ai/graph4nlp Graph4NLP implements four standard classification modules for: node classification, link prediction, kg-completion and graph classification, respectively. Generally, they take the encoding matrix encoded by GraphEncoder as inputs and predict the target objects. * :ref:`guide-node_classification` * :ref:`guide-graph_classification` * :ref:`guide-link_prediction` * :ref:`guide-kgcompletion` .. toctree:: :glob: :maxdepth: 2 :hidden: :caption: Hello classification/node_classification classification/graph_classification classification/link_prediction classification/kgcompletion