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oversmoothing
0:59:46
Understanding Oversmoothing in Graph Neural Networks (GNNs): Insights from Two Theoretical Studies
0:02:00
KDD 2025 - Understanding Oversmoothing in Diffusion-Based GNNs
0:04:53
[ICML 2024] Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
0:06:46
Part 13: measuring and relieving the oversmoothing problem for graph neural networks...
0:04:33
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
1:08:06
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
0:02:25
[CoLoRAI 25] A Low-Rank Perspective on Oversmoothing in Graph Neural Networks
0:46:16
110320_Oversmoothing of GNNs and its Solutions
0:09:16
Part 7: on information dropping and oversmoothing in graph neural networks
0:07:06
Part 15: A note on oversmoothing for graph neural networks
0:52:51
AMMI 2022 Course 'Geometric Deep Learning' - Seminar 4 (Neural Sheaf Diffusion) - Cristian Bodnar
0:12:09
AI Research Paper Overview: Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
0:13:22
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning
0:14:19
Part 17: pairnorm: tackling oversmoothing in GNNs
0:09:56
Part 105: adaptive message passing: a general framework to mitigate oversmoothing, oversquashing...
0:18:33
Part 18: understanding virtual nodes: oversmoothing, oversquashing and node hetetogeneity
0:13:47
Part 48: tackling oversmoothing in GNN via graph sparsification
0:10:23
Part 6: shedding light on random dropping and oversmoothing
1:31:09
Graph-Coupled Oscillator Networks | T. Konstantin Rusch
0:41:19
Designing Efficient Neural Networks for PDEs Using Fast Boundary Element Methods
0:11:22
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in
1:26:34
On the Bottleneck of Graph Neural Networks and its Practical Implications | Authors explain ML Paper
0:26:55
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in
0:07:38
MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorpor
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