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08/07/2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness
As researchers strive to narrow the gap between machine intelligence and...
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04/14/2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing
Graph Convolutional Network (GCN) with the powerful capacity to explore ...
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04/13/2023
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
Heterogeneous graph neural networks aim to discover discriminative node ...
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01/11/2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
Graph convolutional networks (GCNs) have been attracting widespread atte...
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12/09/2022
Multi-view Graph Convolutional Networks with Differentiable Node Selection
Multi-view data containing complementary and consensus information can f...
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11/16/2022
Learnable Graph Convolutional Network and Feature Fusion for Multi-view Learning
In practical applications, multi-view data depicting objectives from ass...
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07/02/2012