From its connectivity and distance information, DCGCN captures the relationships among atoms through a dual-channel graph convolutional network. Furthermore, 1D convolutional layers are employed to ...

A revision of an earlier DI using three-discrete solution interface a PWM to switching regulator and a method to decrease settling time.

Motivated by these challenges, we propose an innovative prediction algorithm named dual-channel graph and Hypergraph Convolutional Network (DCGHCN) to discover microbes underlying disease traits.

WINCHESTER — The Winchester School Board heard a proposal to expand Winchester Public Schools’ dual language immersion program to Garland R. Quarles and John Kerr elementary schools during its ...

We’re brought up to say that the dual concept of injection is surjection, and of course there’s a perfectly good reason for this. The monics in the category of sets are the injections, the epics are ...

HARRISBURG — The Pennsylvania Department of Education announced Monday that the application window is open for $14 million in grant funding for dual credit programs. Grants will help public ...

This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform tasks, it is ...

The core innovation of LightRAG is its use of a graph-based text indexing paradigm combined with a dual-level retrieval system. Graph structures allow the model to capture complex relationships ...

The resulting architecture, Cluster-wise Graph Transformer (Cluster-GT), which uses node clusters as tokens and employs our proposed N2C-Attn module, shows superior performance on various graph-level ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.