Graph neural networks have become essential for molecular property prediction in drug discovery and materials design. However, graph neural networks face a critical challenge called oversmoothing: ...
Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal. To solve this, researchers at the National University ...
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