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相关概念视频

Multiple Bar Graph01:07

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Language and Cognition01:27

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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End Point Prediction: Gran Plot01:07

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A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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在大图体上进行预训练可以帮助多个图表应用程序.

Han Xie1, Vassilis N Ioannidis2, Carl Yang1

  • 1Emory University Atlanta, GA, USA.

KDD : proceedings. International Conference on Knowledge Discovery & Data Mining
|February 20, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了对异质图的图形意识语言模型预训 (GaLM). 通过利用文本和图形结构,GaLM有效地增强了下游图形应用程序.

关键词:
图形神经网络的神经网络不同质的图形 不同质的图形大型语言模型前期培训和微调工作

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科学领域:

  • 人工智能的人工智能
  • 自然语言处理自然语言处理.
  • 图表采矿 图表采矿

背景情况:

  • 对大型文本体的模型预训练对于自然语言处理 (NLP) 任务是有效的.
  • 在大型图形上预训练图形模型显示出下游图形应用的前景.
  • 关于在具有丰富文本数据的大型异质图表上进行预训练模型的研究有限.

研究的目的:

  • 提出一个新的框架,用于图形意识语言模型预训练 (GaLM) 在大型图形 corpora.
  • 在各种下游应用中研究预训练模型的微调,使用不同的图形图表.
  • 解决预培训模型中的差距,这些模型整合了来自异质来源的文本和图形信息.

主要方法:

  • 开发了一个图形意识的语言模型预培训 (GaLM) 框架.
  • 集成的大型语言模型 (LLM) 与图形神经网络 (GNN).
  • 在不同的图表图表上,在下游任务中采用各种微调策略.

主要成果:

  • 通过对现实世界和公共数据集的广泛实验,证明了GaLM的有效性.
  • 经验结果表明,拟议的预培训方法具有显著的好处.
  • 深入分析提供了有价值的见解和从实验中吸取的经验教训.

结论:

  • 拟议的图形意识语言模型预训练 (GaLM) 框架对异质图形数据有效.
  • 在各种下游图表应用中,GaLM提高了性能.
  • 这项研究为图形挖掘和NLP的预训练模型提供了新的方向.