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Found 4 papers, 2 papers with code
KPG: Key Propagation Graph Generator for Rumor Detection based on Reinforcement Learning
In this paper, we propose Key Propagation Graph Generator (KPG), a novel reinforcement learning-based rumor detection framework that generates contextually coherent and informative propagation patterns for events with insufficient topology information, while also identifies indicative substructures for events with redundant and noisy propagation structures.
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
Additionally, existing methods for similar historical cases retrieval face suboptimal performance owing to the modal gap issue.
Modeling driver's evasive behavior during safety-critical lane changes:Two-dimensional time-to-collision and deep reinforcement learning
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
Learning Based Proximity Matrix Factorization for Node Embedding
Recent progress on node embedding shows that proximity matrix factorization methods gain superb performance and scale to large graphs with millions of nodes.
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