A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...

Subgraph-based methods have been introduced as solutions but often ignore shared information among subgraphs. To address these limitations, we propose a Subgraph-aware Graph Kernel Neural Network ...

SRTK is a toolkit for semantic-relevant subgraph retrieval from large-scale knowledge graphs. It currently supports Wikidata, Freebase and DBpedia. A minimum walkthrough of the retrieve process: srtk ...

The information and opinions expressed below are based on my analysis of price behavior and chart activity. Tuesday, June 3, ...

The subgraph isomorphism problem is one of the most important problems for pattern recognition in graphs. Its applications are found in many different disciplines, including chemistry, medicine, and ...

subgraph.yaml: The main configuration file for the subgraph. It defines the data sources, event handlers, and mappings. For the PROM network, the subgraph should point to the prom network.

Abstract: Subgraph enumeration is important for many applications such as network motif discovery, community detection, and frequent subgraph mining. To accelerate the execution, recent works utilize ...

College of Mathematics and Statistics, Fujian Normal University, Fuzhou, Fujian 350117, P. R. China Center for Applied Mathematics of Fujian Province, Fujian Normal ...

Department of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Korea ...

不同的分子类型在药物开发中各有优劣，因此在不同的疾病场景中适合使用的分子类型也有所不同。对此，清华大学刘洋老师组联合人大黄文炳老师组和字节 AI 制药团队，共同提出了一种跨分子种类统一生成框架 ...

Faudulent tactics evolve, so too must our defenses. With thinkers like Satyanandam Kotha leading the charge, the digital ...

These epidemiologic patterns highlight the limitations of focusing on genetics alone. Although the Human Genome Project greatly expanded our understanding of hereditary contributions to disease ...