This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Centralized migration accelerates adaptation and drives parallel evolution, emphasizing the key influence of spatial organization on evolutionary dynamics across systems from pathogen transmission to ...
The rare murals in the Cohen Federal Building celebrate vital American values of dignity and community. Now they could meet the same fate as the White House’s East Wing. By Holland Cotter An eccentric ...
The article studies the main factors affecting the pile drum of a cotton cleaning device for removing small impurities. As a result of the study, graphs were constructed, and the influence of the pile ...
Legal Environment, Corporate Governance, Financial Performance, SACCOS, Institutional Theory Share and Cite: Mbegu, S. (2026) Legal Environment and SACCOS Financial Performance in Mbeya, Tanzania: ...
Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...
Tech Xplore on MSN
AI models mirror human 'us vs. them' social biases, study shows
Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used artificial intelligence (AI) platforms, can rapidly source information and ...
Abstract: Cyclic peptides become attractive therapeutic candidates due to their diverse biological activities. However, existing deep learning-based sequence design models, such as ProteinMPNN, are ...
Official implementation of 'Vision Graph Prompting via Semantic Low-Rank Decomposition'. The paper has been accepted by ICML 2025. Vision GNN (ViG) demonstrates superior performance by representing ...
Abstract: Named Entity Recognition (NER) is recognized as a cornerstone task within the field of Natural Language Processing (NLP), underpinning a wide range of applications including information ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results