Community
Lab-based community around research infrastructure, graph-native discovery and evaluation systems.
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Use the space for work-in-progress discussion, paper triage and collaboration requests.
Linked to ETH Zurich
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lab
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Pinned papers
We present a graph-native product architecture for scholarly sensemaking where work pages, topic maps and researcher trust signals reduce time-to-understanding for new literature.
We study how follow edges, review quality, graph proximity and freshness can be blended into an explainable feed optimized for high-signal research discovery.
We compare dense and sparse retrieval strategies for scholarly search when operators need interpretable reasons and controllable ranking.
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