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On the Exploration of Local Significant Differences For Two-Sample Test
Neural Information Processing Systems
Several attempts have been made to explore local significant differences in the past years.
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Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Neural Information Processing Systems
Learning representations of sets of nodes in a graph is crucial for applications ranging from node-role discovery to link prediction and molecule classification.
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- North America > United States > California > Santa Clara County > Palo Alto (0.04)
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- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.28)
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- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.04)
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- North America > United States > Virginia (0.04)
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- Leisure & Entertainment > Games (0.68)
- Information Technology (0.46)
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