To apply the model on industry scale knowledge graphs would require special infrastructure." Multi-hop reasoning is an effective approach for query answering (QA) over incomplete knowledge graphs.

In this article, we propose a new data-analytic approach to measure firms’ dyadic business proximity. Specifically, our method analyzes the unstructured texts that describe firms’ businesses using the ...

Neo4j was among the first graph databases to expand its offering to data scientists, and Eifrem went as far as to predict that by 2030, every machine learning model will use relationships as a signal.

With topic modeling, brands can see beyond the actual words being used to discover trends and get ahead of potential problems. Topic modeling uses machine learning and natural language processing to ...

Google Topic Layer To Knowledge Graph, Enabling Dynamic Categorization & More Sep 26, 2018 - 7:58 am 0 — by Barry Schwartz ... Filed Under Google Search Engine Optimization ...

In this article, author discusses Apache Spark GraphX used for graph data processing and analytics, with sample code for graph algorithms like PageRank, Connected Components and Triangle Counting.

At the Graph & AI Summit, TigerGraph unveiled the winners of the Graph for All Million Dollar Challenge — awarding $1 million in cash to game-changing, graph-powered projects that analyze and ...