Видео ютуба по тегу Oversmoothing

Oversmoothing, “Oversquashing”, Heterophily, Long-Range, and more

Oversmoothing, “Oversquashing”, Heterophily, Long-Range, and more

110320_Oversmoothing of GNNs and its Solutions

110320_Oversmoothing of GNNs and its Solutions

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Understanding Oversmoothing in Graph Neural Networks (GNNs): Insights from Two Theoretical Studies

Understanding Oversmoothing in Graph Neural Networks (GNNs): Insights from Two Theoretical Studies

[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs

Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning

Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning

[CoLoRAI 25] A Low-Rank Perspective on Oversmoothing in Graph Neural Networks

[CoLoRAI 25] A Low-Rank Perspective on Oversmoothing in Graph Neural Networks

Linear Filters for Image Smoothing: Enhancing Images with Mean, Median, and Gaussian Techniques

Linear Filters for Image Smoothing: Enhancing Images with Mean, Median, and Gaussian Techniques

Part 7: on information dropping and oversmoothing in graph neural networks

Part 7: on information dropping and oversmoothing in graph neural networks

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Part 13: measuring and relieving the oversmoothing problem for graph neural networks...

Part 13: measuring and relieving the oversmoothing problem for graph neural networks...

Part186: ordered GNN: ordering message passing to deal with heterophily and oversmoothing

Part186: ordered GNN: ordering message passing to deal with heterophily and oversmoothing

Part 15: A note on oversmoothing for graph neural networks

Part 15: A note on oversmoothing for graph neural networks

Part 18: understanding virtual nodes: oversmoothing, oversquashing and node hetetogeneity

Part 18: understanding virtual nodes: oversmoothing, oversquashing and node hetetogeneity

Part 6: shedding light on random dropping and oversmoothing

Part 6: shedding light on random dropping and oversmoothing

KDD 2025 - Understanding Oversmoothing in Diffusion-Based GNNs

KDD 2025 - Understanding Oversmoothing in Diffusion-Based GNNs

Graph-Coupled Oscillator Networks | T. Konstantin Rusch

Graph-Coupled Oscillator Networks | T. Konstantin Rusch

Part 17: pairnorm: tackling oversmoothing in GNNs

Part 17: pairnorm: tackling oversmoothing in GNNs

Part 48: tackling oversmoothing in GNN via graph sparsification

Part 48: tackling oversmoothing in GNN via graph sparsification

An Introduction to Graph Neural Networks

An Introduction to Graph Neural Networks

Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained

Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained

Объяснение ИИ — графовые нейронные сети | Как ИИ использует графы для ускорения инноваций

Объяснение ИИ — графовые нейронные сети | Как ИИ использует графы для ускорения инноваций

Over-squashing and Over-smoothing

Over-squashing and Over-smoothing

Part 105: adaptive message passing: a general framework to mitigate oversmoothing, oversquashing...

Part 105: adaptive message passing: a general framework to mitigate oversmoothing, oversquashing...

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