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Everything about Dense graph
Graph with almost the max amount of edges
In mathematics, a dense graph is a graph in which the number of edges is close to the maximal number of edges. The opposite, a graph with only a few edges, is a sparse graph. The distinction of what constitutes a dense or sparse graph is ill-defined, and is often represented by 'roughly equal to' statements. Due to this, the way that density is defined often depends on the context of the problem. Wikipedia →
đź§ Start here: a 6-step reading path
- Read the overview: Dense graphA 5-minute orientation
- Skim a recent paper: Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion PredictionInfluential work since 2022
- Pick up a classic book: Trends and Topics in Computer VisionThe most-reprinted book on the subject
- Read the landmark paper: Liquid-Mediated Dense Integration of Graphene Materials for Compact Capacitive Energy StorageCited 1,806 times
- Go sideways: Shallow minorA closely related topic
- Go sideways: Bounded expansionA closely related topic
đź“– Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Liquid-Mediated Dense Integration of Graphene Materials for Compact Capacitive Energy Storage
Limits of dense graph sequences
The Nonlinear Heat Equation on Dense Graphs and Graph Limits
On triangulation-based dense neighborhood graph discovery
How many random edges make a dense graph hamiltonian?
Percolation on dense graph sequences
Dense Video Captioning Using Graph-Based Sentence Summarization
RDGCN: Reasonably dense graph convolution network for pedestrian trajectory prediction
🆕 Influential since 2022
Dynamic Dense Graph Convolutional Network for Skeleton-Based Human Motion Prediction
Dense Graph Convolutional With Joint Cross-Attention Network for Multimodal Emotion Recognition
Action recognition via pose-based graph convolutional networks with intermediate dense supervision
DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy
Lightweight dense video captioning with cross-modal attention and knowledge-enhanced unbiased scene graph
📚 Books worth reading
Trends and Topics in Computer VisionKiriakos N. Kutulakos · 2012
The mathematics of Paul ErdösRonald L. Graham, Jaroslav Nešetřil · 1997- 📕Applied data miningGuandong Xu · 2013
Computational Visual MediaShi-Min Hu · 2012
Simulation, Modeling, and Programming for Autonomous RobotsItsuki Noda · 2008
Temporal and spatio-temporal data miningWynne Hsu, Wynne Hsu · 2007
SimCity 2000Nick Dargahi, Michael Bremer · 1994
Intelligent Science and Intelligent Data EngineeringJian Yang · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
đź”— Related topics
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