Hands-on knowledge from top Graph AI minds! Learn from Workshops, Masterclasses, Presentations & Networking sessions.
Slides available at "Media" section on the right
The field of automatic knowledge graph completion, which is motivated by the fact that knowledge graphs are usually incomplete, is an active research direction spanning several subfields of artificial intelligence
CoDEx is a set of knowledge graph COmpletion Datasets EXtracted from Wikidata and Wikipedia that improve upon existing knowledge graph completion benchmarks in scope and level of difficulty.
In terms of scope, CoDEx comprises three knowledge graphs varying in size and structure, multilingual descriptions of entities and relations, and tens of thousands of hard negative triples that are plausible but verified to be false.
CoDEx is characterized by thorough empirical analyses and benchmarking experiments.
Data, code, and pretrained models are available at https://bit.ly/2EPbrJs