EurekAlert!

Heterogeneous spatio-temporal graph contrastive learning for point-of-interest recommendation

As one of the most crucial topics in the recommendation system field, Point-of-Interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks ...
TechCrunch

GraphLab Raises $6.75M For Data Analysis Used In Consumer Recommendation Services

GraphLab, the open-source distributed database, has received $6.75 million from Madrona Venture Group and NEA for its machine learning technology used to analyze data graphs for recommendation engines ...
dbta

Leveraging the Power of Graph Data Science for Personalized Recommendations

Recommendations can be the guiding light for organizations seeking to increase customer engagement, satisfaction, and retainment—all culminating in greater revenue for the enterprise. Great ...
EurekAlert!

Learning from Shortcut: A Shortcut-guided approach for explainable graph learning

SGR turns adversarial shortcuts into teachers, isolating invariant subgraph rationales and delivering the first XGL framework ...
NextBigFuture

Generalized Graph Networks ups Deep Learning to next level AI

Deep Learning and Machine Learning has made breakthroughs in recent years. There is tens of billions of dollars going into development of the new AI. Google and Deep Mind are recognizing that Deep ...
ZDNet

SambaNova is enabling disruption in the enterprise with AI language models, computer vision, recommendations, and graphs

Like artificial intelligence itself, the AI startup SambaNova is interesting across the stack. From software to hardware, from technology to business model, and from vision to execution. SambaNova has ...