Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...

Nor has it used its new qubit in a computation, other than to verify that it does in fact support multimode encoding. Many steps and technical challenges remain on the team’s road to quantum ...

Simulation results show that our proposals outperform the conventional schemes, and the proposed unfolded graph learning substantially alleviates the interference and achieves superior computation ...

It uses a graph-based diffusion technique to sample a fixed-size, yet cross-coupled, information-rich circumstantial node set for target edges. Centrality enabled spatial-temporal node encoding is ...

For BlogCatalog, please unzip ./dataset/blog.zip before running the program. For Penn94, We use the datasets provided in "Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong ...

The accurate description of electrostatic interactions remains a challenging problem for classical potential-energy functions. The commonly used fixed partial-charge approximation fails to reproduce ...