Reasoning is a fundamental capability for harnessing valuable insight, knowledge and
patterns from knowledge graphs. Existing work has primarily been focusing on point-wise …

A prominent application of knowledge graph (KG) is document enrichment. Existing methods
identify mentions of entities in a background KG and enrich documents with entity types and …

ObjectRank is an essential tool to evaluate an importance of nodes for a user-specified
query in heterogeneous graphs. However, existing methods are not applicable to massive …

Given an edge-labeled graph and two nodes, how can we accurately infer the relation
between the nodes? Reasoning how the nodes are related is a fundamental task in …

Fair machine learning has gained considerable interests in recent years, and has been
widely adapted in every aspect of life. A multitude of formal, mathematical definitions of …

Supervised and Unsupervised ML algorithms are widely used over graphs. They use the
structural properties of the data to deliver effective results. It is known that the same …