Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 5 of 5 for “"graph coarsening"”.
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Efficient and Effective Algorithms for Controllable Fluid Simulation and Mesh Deformation
… operators combined with a simple and effective graph coarsening strategy. The algorithm has very good performance and scalability.
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Benchmarking Graph Transformers Toward Scalability for Large Graphs
Graph transformers (GTs) have gained popularity as an alternative to graph neural networks (GNNs) for deep learning on graph-structured data. In particular, the self-attention mechanism of GTs mitigates the fundamental limitations of over-squashing, over-smoothing, and limited expressiveness that …
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Topological Deep Learning: Graphs, Complexes, Sheaves
The types of spaces where data resides - graphs, meshes, grids, manifolds - are becoming increasingly varied and heterogeneous. Therefore, translating ideas, models, and theoretical results between different domains is becoming more and more challenging. Nonetheless, two fundamental principles …
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Optimizing and Understanding Network Structure for Diffusion
… epidemic can die out quickly, if vulnerable demographic groups are successfully targeted for vaccination. Hence in this thesis, we aim to optimize and understand network structure better in light of diffusion. We optimize graph topologies by removing nodes/edges for controlling rumors/viruses …