The report titled "Technological Advances and Practical Applications of Knowledge Graphs in the Power Sector" by the ...
One powerful way to do this is through a routine called slow reveal graphs.
The House IAA would require DNI to designate an official to oversee acquisitions of CAI, produce briefings for Congress, and ...
Explore how Neo4j’s Infinigraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...
I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
Natural Language Processing Lab, Department of Computer Science, Virginia Commonwealth University, Richmond, VA, United States Objective: Literature-based Discovery (LBD) identifies new knowledge by ...
When Patrick Dorgu’s €30million move from Lecce was finally confirmed last month, there was something different about Manchester United’s usually formulaic announcement of a new signing. This time, ...
This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...
Abstract: Over the past few years, multiview attributed graph clustering has achieved promising performance via various data augmentation strategies. However, we observe that the aggregation of node ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback