The KACC benchmark consists of three subtasks that can be applied to knowledge graphs: knowledge abstraction, knowledge concretization and knowledge completion.

• The knowledge abstraction subtask contains tasks of concept inference, schema prediction and concept graph completion on the two-view KG.
• The knowledge concretization subtask requires models to do entity graph completion based on the two subgraphs. The concretization ability can be further examined by the results of long-tail entity link prediction.
• The knowledge completion subtask consists of typical single-view knowledge graph completion tasks for each subgraph.

KACC contains 999,902 entities in the entity graph, with 691 types of relations . The concept graph contains 21,293 concepts with 198 types of meta-relations. There are 2,367,971 cross-links between the two.