咨询与建议

限定检索结果

文献类型

  • 47 篇 期刊文献
  • 32 篇 会议

馆藏范围

  • 79 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 71 篇 工学
    • 54 篇 计算机科学与技术...
    • 18 篇 电气工程
    • 6 篇 软件工程
    • 5 篇 信息与通信工程
    • 5 篇 环境科学与工程(可...
    • 3 篇 化学工程与技术
    • 3 篇 石油与天然气工程
    • 2 篇 力学(可授工学、理...
    • 2 篇 机械工程
    • 2 篇 动力工程及工程热...
    • 1 篇 材料科学与工程(可...
    • 1 篇 建筑学
    • 1 篇 土木工程
    • 1 篇 水利工程
    • 1 篇 测绘科学与技术
    • 1 篇 船舶与海洋工程
    • 1 篇 城乡规划学
  • 10 篇 理学
    • 3 篇 数学
    • 3 篇 生物学
    • 2 篇 物理学
    • 1 篇 海洋科学
    • 1 篇 地球物理学
  • 9 篇 管理学
    • 8 篇 管理科学与工程(可...
    • 2 篇 工商管理
  • 7 篇 医学
    • 4 篇 临床医学
    • 2 篇 基础医学(可授医学...
    • 2 篇 中西医结合
    • 2 篇 药学(可授医学、理...
  • 2 篇 农学
  • 1 篇 法学
    • 1 篇 法学
  • 1 篇 教育学
    • 1 篇 教育学

主题

  • 79 篇 graph machine le...
  • 10 篇 graph neural net...
  • 10 篇 machine learning
  • 5 篇 graph neural net...
  • 5 篇 link prediction
  • 4 篇 deep learning
  • 4 篇 node classificat...
  • 4 篇 graph signal pro...
  • 4 篇 network science
  • 3 篇 task analysis
  • 3 篇 graph data augme...
  • 3 篇 predictive model...
  • 2 篇 representation l...
  • 2 篇 drug discovery
  • 2 篇 graph convolutio...
  • 2 篇 self-supervised ...
  • 2 篇 neural networks
  • 2 篇 convolution
  • 2 篇 optimization
  • 2 篇 graph mining

机构

  • 3 篇 univ oxford oxfo...
  • 3 篇 univ illinois ch...
  • 2 篇 chengdu univ inf...
  • 2 篇 tianjin univ col...
  • 2 篇 visa res palo al...
  • 1 篇 relat therapeut ...
  • 1 篇 rhein westfal th...
  • 1 篇 julich supercomp...
  • 1 篇 rice univ dept e...
  • 1 篇 google res montr...
  • 1 篇 harvard univ cam...
  • 1 篇 mila quebec arti...
  • 1 篇 natl univ singap...
  • 1 篇 sungkyunkwan uni...
  • 1 篇 aarhus univ dept...
  • 1 篇 univ regensburg ...
  • 1 篇 shanghai ai lab ...
  • 1 篇 univ michigan an...
  • 1 篇 nucl power corp ...
  • 1 篇 nantes univ cnrs...

作者

  • 3 篇 tong hanghang
  • 3 篇 dong xiaowen
  • 3 篇 gorduza dragos
  • 2 篇 betancourt clara
  • 2 篇 yang hao
  • 2 篇 pan menghai
  • 2 篇 xu zhe
  • 2 篇 faloutsos christ...
  • 2 篇 shah neil
  • 2 篇 makarov ilya
  • 2 篇 chen yuzhong
  • 2 篇 qiao shaojie
  • 2 篇 zohren stefan
  • 2 篇 isufi elvin
  • 2 篇 li guohao
  • 1 篇 dong yuxiao
  • 1 篇 goswami umang
  • 1 篇 du haiwen
  • 1 篇 uddin shahadat
  • 1 篇 zhang lin

语言

  • 77 篇 英文
  • 2 篇 其他
检索条件"主题词=Graph Machine Learning"
79 条 记 录,以下是11-20 订阅
排序:
graphStorm: All-in-one graph machine learning Framework for Industry Applications  24
GraphStorm: All-in-one Graph Machine Learning Framework for ...
收藏 引用
30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
作者: Da Zheng Song, Xiang Zhu, Qi Zhang, Jian Vasiloudis, Theodore Ma, Runjie Zhang, Houyu Wang, Zichen Adeshina, Soji Nisa, Israt Mottini, Alejandro Cui, Qingjun Rangwala, Huzefa Zeng, Belinda Faloutsos, Christos Karypis, George Amazon AWS AI Santa Clara CA 98109 USA Amazon AWS AI Seattle WA USA Amazon AWS AI New York NY USA Amazon Search AI Palo Alto CA USA Amazon AWS AI Washington DC USA
graph machine learning (GML) is effective in many business applications. However, making GML easy to use and applicable to industry applications with massive datasets remain challenging. We developed graphStorm, which... 详细信息
来源: 评论
An Exploration of Optimizing Kidney Exchanges with graph machine learning
An Exploration of Optimizing Kidney Exchanges with Graph Mac...
收藏 引用
Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)
作者: Nau, Calvin Sankaran, Prashant Sudit, Moises Khazaelpour, Payam McConky, Katie Velasquez, Alvaro Kayler, Liise Rochester Inst Technol Dept Ind & Syst Engn Rochester NY 14623 USA SUNY Buffalo Dept Ind & Syst Engn Buffalo NY USA Def Adv Res Projects Agcy Neuro Symbol AI Dept Arlington VA USA SUNY Buffalo Dept Surg New York NY USA
The Kidney Exchange Problem (KEP) determines organ exchange chains and cycles amongst a pool of patient-donor pairs (PDP) and non-directed donors (NDD) allowing for the maximum number of kidney transplants. The proble... 详细信息
来源: 评论
Data Quality-aware graph machine learning  24
Data Quality-aware Graph Machine Learning
收藏 引用
33rd ACM International Conference on Information and Knowledge Management (CIKM)
作者: Wang, Yu Ding, Kaize Liu, Xiaorui Kang, Jian Rossi, Ryan Derr, Tyler Univ Oregon Eugene OR 97403 USA Northwestern Univ Evanston IL USA North Carolina State Univ Raleigh NC USA Univ Rochester Rochester NY USA Adobe Res San Jose CA USA Vanderbilt Univ 221 Kirkland Hall Nashville TN 37235 USA
Recent years have seen a significant shift in Artificial Intelligence from model-centric to data-centric approaches, highlighted by the success of large foundational models. Following this trend, despite numerous inno... 详细信息
来源: 评论
Prediction of Insider Trading Behaviours through Highly Interconnected Core People Network with graph machine learning  6
Prediction of Insider Trading Behaviours through Highly Inte...
收藏 引用
6th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2024
作者: Sun, Yinghuai Gorduza, Dragos Department of Engineering University of Oxford Oxford United Kingdom
This study investigates the potential of graph-based machine learning to enhance the detection and understanding of trading by insiders, encompassing both legal and potentially illicit activities. Given the complex an... 详细信息
来源: 评论
Knowledge-augmented graph machine learning for Drug Discovery: From Precision to Interpretability  23
Knowledge-augmented Graph Machine Learning for Drug Discover...
收藏 引用
29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
作者: Zhong, Zhiqiang Mottin, Davide Aarhus Univ Aarhus Denmark
graph machine learning (GML) has gained considerable attention for its exceptional ability to model graph-structured biomedical data and investigate their properties and functional relationships. Despite extensive eff... 详细信息
来源: 评论
Deciphering gp120 sequence variation and structural dynamics in HIV neutralization phenotype by molecular dynamics simulations and graph machine learning
收藏 引用
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS 2022年 第7期90卷 1413-1424页
作者: Li, Yi Guo, Yu-Chen Cheng, Hong-Han Zeng, Xin Zhang, Xiao-Ling Sang, Peng Chen, Ben-Hui Yang, Li-Quan Dali Univ Coll Math & Comp Sci Dali Yunnan Peoples R China Dali Univ Coll Agr & Biol Sci Dali Yunnan Peoples R China
Human immunodeficiency virus (HIV) exploits the sequence variation and structural dynamics of the envelope glycoprotein gp120 to evade the immune attack of neutralization antibodies, contributing to various HIV neutra... 详细信息
来源: 评论
On Enhancement of Text Classification and Analysis of Text Emotions Using graph machine learning and Ensemble learning Methods on Non-English Datasets
收藏 引用
ALGORITHMS 2023年 第10期16卷 470-470页
作者: Gholami, Fatemeh Rahmati, Zahed Mofidi, Alireza Abbaszadeh, Mostafa Amirkabir Univ Technol Tehran Polytech Dept Math & Comp Sci Tehran *** Iran Inst Res Fundamental Sci IPM Sch Math Tehran *** Iran
In recent years, machine learning approaches, in particular graph learning methods, have achieved great results in the field of natural language processing, in particular text classification tasks. However, many of su... 详细信息
来源: 评论
Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics
收藏 引用
ADVANCED MODELING AND SIMULATION IN ENGINEERING SCIENCES 2024年 第1期11卷 6页
作者: Roznowicz, Davide Stabile, Giovanni Demo, Nicola Fransos, Davide Rozza, Gianluigi SISSA Math Area MathLab Via Bonomea 265 I-34136 Trieste Italy Univ Urbino Carlo Bo Dept Pure & Appl Sci Informat & Math Sect Piazza Repubbl 13 I-61029 Urbino Italy Sauber Motorsport AG Wildbachstr 9 CH-8340 Hinwil Switzerland FAST Comp Srl Via Mazzini 20 I-34121 Trieste Italy
The article presents the application of inductive graph machine learning surrogate models for accurate and efficient prediction of 3D flow for industrial geometries, explicitly focusing here on external aerodynamics f... 详细信息
来源: 评论
Forecasting labor needs for digitalization: A bi-partite graph machine learning approach
收藏 引用
WORLD PATENT INFORMATION 2023年 73卷
作者: David, Dimitri Percia Moreno, Santiago Anton Marechal, Loic Maillart, Thomas Mermoud, Alain Univ Geneva Informat Sci Inst GSEM 40 Blvd Pont Arve CH-1211 Geneva Switzerland Cyber Def Campus Armasuisse Sci & Technol Feuerwerkstr 39 CH-3602 Thun Switzerland Univ Appl Sci Western Switzerland HES SO Valais Wa Inst Entrepreneurship & Management Techno Pole 1 CH-3960 Sierre Switzerland Sect Math EPFL FSB SMA EPFL Stn 8 CH-1015 Lausanne Switzerland Univ Lausanne Dept Informat Syst HEC Lausanne CH-1015 Lausanne Switzerland
We use a unique database of digital, and cybersecurity hires from Swiss organizations and develop a method based on a temporal bi-partite network, which combines local and global indices through a Support Vector Machi... 详细信息
来源: 评论
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial graph machine learning  20
EasyGML: A Fully-functional and Easy-to-use Platform for Ind...
收藏 引用
29th ACM International Conference on Information and Knowledge Management (CIKM)
作者: Zhang, Zhiqiang Zhou, Jun Shi, Chuan Ant Financial Serv Grp Hangzhou Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China
Despite the great success of graph machine learning (GML) in a variety of applications, the industry is still seeking a platform which makes performing industrial-purpose GML convenient. In this demo, we present EasyG... 详细信息
来源: 评论