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06/10/2023
On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and Algorithms
Graphs are a powerful mathematical model, and they are used to represent...
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06/04/2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
Graph neural networks (GNNs) learn the representation of graph-structure...
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05/16/2023
Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm
What are the relations between the edge weights and the topology in real...
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02/10/2023
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes
Simplicial complexes are higher-order combinatorial structures which hav...
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01/20/2023
Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications
Hypergraphs are a powerful abstraction for modeling high-order relations...
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05/12/2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs
The optimization with orthogonality has been shown useful in training de...
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07/08/2020