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Differentiable Cluster Graph Neural Network
Graph Neural Networks often struggle with long-range information propagation and in the presence of heterophilous neighborhoods.
Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents
We propose KNN-former, which incorporates a new kind of spatial bias in attention calculation based on the K-nearest-neighbor (KNN) graph of document entities.
Enabling Roll-up and Drill-down Operations in News Exploration with Knowledge Graphs for Due Diligence and Risk Management
Efficient news exploration is crucial in real-world applications, particularly within the financial sector, where numerous control and risk assessment tasks rely on the analysis of public news reports.
Web News Timeline Generation with Extended Task Prompting
The creation of news timeline is essential for a comprehensive and contextual understanding of events as they unfold over time.
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