Graph learning often boils down to uncovering the hidden structure of data, which has been applied in various fields such as biology, sociology, and environmental studies. However, distributed sensing ...

To bridge this gap, we examine the statistical behavior of the two key filter types, finite impulse response and autoregressive moving average graph filters, when operating on random time-varying ...

Real-time indexing on TRON pairs one of the industry’s largest transaction flows with The Graph’s fastest data pipeline, a combination likely to attract new analytics tools, market activity ...

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights and analytics.

Valkyrie makes history by launching the first-ever knowledge graph on the moon aboard Intuitive Machine’s IM-2 Mission from Kennedy Space Center.

PuppyGraph, the first and only graph query engine, announced today its $5 million seed funding round led by defy.vc. The zero-ETL unlocks real-time gr ...

Based on your paper, it seems that deepvelo is a big improvement over other RNA velocity based analysis tool. However, I tried quite a few of the scVelo succeessors, none of them work for me.

The TempoKGAT model enhances temporal graph analysis by refining node features through time-decaying weights and selective neighbor aggregation. Starting with node features, a temporal decay is ...

The LaMMOn model presents an end-to-end multi-camera tracking solution leveraging transformers and graph neural networks. It addresses the limitations of tracking-by-detection with a generative ...