Heterogeneous academic graph from the Open Academic Graph, focused on engineering papers. Contains papers, authors, venues, institutions, and fields of study with 22 relation types.
npx keepset fetch oag-eng
Nodes
929,315
Edges
12,346,854
Size
7.9 GiB
This entry has no fetchable recipe yet: no download is in a form keepset reads yet (pytorch-hetero: the file is a PyTorch torch.save archive whose graph is a pickled Python dictionary (pyHGT's OAG layout of node_forward, node_feature and edge_list by target type, source type and relation), which only a Python runtime with PyTorch can unpickle, and it is several gigabytes)
Junheng Lin, Yibin Shen, Yifan Wang, Fangzhao Wu, Xiang Wang (2024). H2GB: A Hierarchical Heterogeneous Graph Benchmark for Node Property Prediction. Proceedings of the AAAI Conference on Artificial Intelligence.
Recipe
Status
not fetchable: no download is in a form keepset reads yet (pytorch-hetero: the file is a PyTorch torch.save archive whose graph is a pickled Python dictionary (pyHGT's OAG layout of node_forward, node_feature and edge_list by target type, source type and relation), which only a Python runtime with PyTorch can unpickle, and it is several gigabytes)
Crosswalk
keepset/topology to graph/v1, as a crossmap crosswalk.