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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
DebiasingGraphNeuralNetworksviaLearning DisentangledCausalSubstructure
With the disentangled representations, we synthesize the counterfactual unbiased training samples to further decorrelate causal and bias variables.
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- Research Report > New Finding (1.00)
- Research Report > Experimental Study (0.92)
- Workflow (0.67)
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Graph Coarsening with Message-Passing Guarantees
Interestingly, and in a sharp departure from previous proposals, this operation on coarsened graphs is often oriented, even when the original graph is undirected.
Technology:
Robust Graph Neural Networks via Unbiased Aggregation
Existing defenses attempt to bolster the resilience of GNNs using diverse approaches.
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- North America > United States > North Carolina (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.92)
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- Information Technology (0.68)
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