Change Password
  • Content format error The content can not be blank
  • Content format error The content can not be blank
  • Content format error The content can not be blank

Graph Embedding & AI

Graph algorithms drive a new generation of AI

Researchers and scientists around the world are using graphs to tackle real-world problems, from societal networks to protein interactions to communication networks to eCommerce user behavior analysis. Lots of mathematical and statistical operations can be better done in embedded graphs that are presented in vector spaces. Ultipa naturally support graph embeddings and varied neural networks, we are fast, intuitive and convenient, eliminating the needs to rely on multiple siloed systems and cumbersome data ETL tasks.

Application

  • Content format error The content can not be blank
  • Verification code error The content can not be blank
  • Verification code error The content can not be blank
  • Content format error The content can not be blank
  • Content format error The content can not be blank
  • Content format error The content can not be blank
  • Content format error The content can not be blank
  • Content format error The content can not be blank
Submitted successfully. Please check your email
Failed to submit, please resubmit

Pain Points

  • Slowness

    Preparing and embedding graph data is usually a lengthy and complex process, because the underpinning graph system are not designed to tackle such tasks effectively with efficacy.

  • Siloed Systems

    It usually requires multiple siloed systems to work together, lots of ETL on multiple datasets are often involved, having one unified system to tackle graph embedding is highly desirable.

  • Black-Box & Lack-of-Explainability

    Graph embedding and Graph-based deep-learning and neural networks are also symbolized with un-explainability and black-box characteristics. To human decision makers, unexplainable AI poses great risk to their businesses!

Solution Characteristics

  • One-Stop-Shop

    Imagine not having to rely on multiple IT systems like Spark+Neo4j+Tensorflow for your AI/graph training. With Ultipa, graph embedding & learning can be done in one central place with simplicity and ease!

  • Great Performance

    AI over graph is a whole new area that’s being actively explored by academic and industrial researchers and programmers. Ultipa Graph offers far superior performance to other databases, often times 10x-to-100x faster.

  • Explainable AI

    AI is going more and more sophisticated and un-explainable, in short, black-box to human beings, this is unacceptable and potentially a major risk to the well-being of human species. Graph has the absolute potential to fix this by white-box AI, period.

Advantages

  • No more multiple siloed systems that require cumbersome ETL on data.

  • We are 10s to 100s of times faster than other graph-embedding/AI solutions.

  • Our integrated Ultipa KG make graph embedding and AI explainable/white-box.