v0.5.5-alpha

• Support model.predict API by introducing wrapper functions.
• Introduce Three new inference_wrapper functions: classifier_inference_wrapper, generator_inference_wrapper, generator_inference_wrapper_for_tree.
• Add the inference and inference_advance examples in each application.
• Separate the graph topology and graph embedding process.
• Renew all the graph construction functions.
• Module graph_embedding is divided into graph_embedding_initialization and graph_embedding_learning.
• Unify the parameters in Dataset. We remove the ambiguous parameter graph_type and introduce graph_name to indicate the graph construction method and static_or_dynamic to indicate the static or dynamic graph construction type.
• New: The dataset now can automatically choose the default methods (e.g., topology_builder) by only one parameter graph_name.