In-Depth with Spatial-Temporal Graph Neural Networks for Traffic Forecasting: An Overview with Attention

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In-Depth with Spatial-Temporal Graph Neural Networks for Traffic Forecasting: An Overview with Attention

Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 295-306.

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Sonraí Bibleagrafaíochta
Những tác giả chính:	Quang, Cam Dung, Nguyen, Huu An, Le, Vang Van
Formáid:	Bài viết
Teanga:	English
Foilsithe:	Springer Nature 2024
Ábhair:	Spatial-Temporal Graph Neural Networks for Traffic Forecasting ntelligent Transportation Systems (ITS)
Rochtain Ar Líne:	https://elib.vku.udn.vn/handle/123456789/4288 https://doi.org/10.1007/978-3-031-74127-2_25
Clibeanna:	Cuir Clib Leis Gan Chlibeanna, Bí ar an gcéad duine leis an taifead seo a chlibeáil!

Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

Míreanna Comhchosúla

From graphs to spatial graphs /
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Shannon graphs, subshifts and lambda-graph systems /
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Algorithmic graph theory and perfect graphs
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4-Regular graph of diameter 2 /
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CONDITIONS FOR GRAPHS ON n VERTICES WITH THE SUM OF DEGREES OF ANY TWO NONADJACENT VERTICES EQUAL TO n-2 TO BE A HAMILTONIAN GRAPH
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Forecasting
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Forecasting
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Traffic engineering and management.
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Graph theory
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Graph theory
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Graph theory /
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4-regular graph of diameter 2
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Road traffic law
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Introduction to graph theory
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Graphs, Algorithms, and Optimization
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Graphs, algorithms, and optimization /
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Algebraic graph theory /
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Graph algorithms and applications.
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Applied and algorithmic graph theory
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Statistical methods for spatial data analysis
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