Here, we will see how to harness the power of the graph model as a way of representing data that makes it easy to access and analyze, as well as how to use the “intelligence” of the machine learning algorithms
Many state-of-the-art systems for computer vision (CV) and natural language processing (NLP) tasks are based on modern deep learning (DL) algorithms. Visual question answering (VQA) requires techniques from both areas owing to its inherent design at the intersection of NLP and CV. The task ...
This paper introduces a novel application of spatial-temporal graph neural networks (ST-GNNs) to predict groundwater levels. Groundwater level prediction is inherently complex, influenced by various hydrological, meteorological, and anthropogenic factors. Traditional prediction models often struggle with the...
The average accuracy is 87.12%, comparable to state-of-the-art algorithms. f, The normalized confusion matrices of the simulated classification results. g, A breakdown of the estimated OPs (red bars) and the associated energy consumption (light-blue bars for a state-of-the-art GPU; dark-...
We first visualized slice 151673 (Fig. 2a and b), where most methods performed well. On this slice, stDyer, DeepST, STAGATE, SpaDo, and GraphST (Fig. 2c) successfully identified 6 laminar layers and white matter (WM) as indicated in the annotation (Fig. 2b). We then evaluated the...
Graphs can also be visualized in the search engines to carry search operations and provide results. Various searching algorithms have been developed for searching in graphs. In this paper we propose that the entire network graph be clustered. The larger graphs are clustered to make smaller graphs....
The result of both commands is a Graph object and can be examined and visualized using the tools in the GraphTheory package. • The expression expr must be in conjunctive normal form (CNF). If not already in CNF, expr can be converted to CNF using Normalize; alternatively, Tseitin may...
In addition to the aforementioned three databases, we also provide a pathway database generated using algorithms. The pathway information retrieved from the pathway database will form the basis for constructing cell graph \(A2\). Integrating expression data with biological information Once we have ...
buildingcfgs around blocks that are shorter than a basic block. The most common alternative block is asingle-statement block. Single-statement blocks can simplify algorithms for analysis and optimization. The tradeoff between acfgbuilt with single-statement blocks and one built with maximal-length blo...
Zerbino D, Birney E: Algorithms for de novo short read assembly using de Bruijn graphs. Genome Res 2008, 18: 821–829. 10.1101/gr.074492.107 Article CAS PubMed PubMed Central Google Scholar DeBarry JD, Liu R, Bennetzen JL: Discovery and assembly of repeat family pseudomolecules from sparse...