ggfm.data

Graph

ggfm.data.Graph	The Heterogeneous Graph Transformer (HGT) operator from the "Heterogeneous Graph Transformer" paper.
ggfm.data.HomogeneousGraph

Graph Preprocessing

ggfm.data.renamed_load	Load Graph object.
ggfm.data.sample_subgraph	"GPT-GNN: Generative Pre-Training of Graph Neural Networks" paper.
ggfm.data.get_type_id	Statistically analyze the type_degin_ids and graph_node_type of graphs.
ggfm.data.construct_graph	Construct dgl.heterograph from ggfm.data.graph.
ggfm.data.generate_lm_embs	Language model generates node embeddings for words。
ggfm.data.feature_extractor	"GPT-GNN: Generative Pre-Training of Graph Neural Networks" paper.
ggfm.data.higpt_prompt_generation	Main function to execute all dataset processing steps.
ggfm.data.construct_link_and_node	Construct link.dat and node.dat.
ggfm.data.construct_graph_node_name	Construct graph_node_name.pkl for ggfm.data.graph.
ggfm.data.metapath_based_corpus_construction	Metapath-based corpus construction.
ggfm.data.random_walk_based_corpus_construction	Construct link.dat and node.dat.
ggfm.data.read_npz	Read a npz file.
ggfm.data.extract_zip	Extracts a zip archive to a specific folder.
ggfm.data.download_url	Downloads the content of an URL to a specific folder.
ggfm.data.download_google_url	Downloads the content of a Google Drive ID to a specific folder.
ggfm.data.args_print	Print argments.
ggfm.data.open_pkl_file	Open pickle file.
ggfm.data.open_txt_file	Open txt file.
ggfm.data.save_pkl_file	Save pickle file.
ggfm.data.save_txt_file	Save txt file.
ggfm.data.get_train_val_test_split	Split the dataset into train, validation, and test sets.
ggfm.data.generate_masks