ENTITY
RGNNs
RGNNs
PulseAugur coverage of RGNNs — every cluster mentioning RGNNs across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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Papers · 30d
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TIER MIX · 90D
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SENTIMENT · 30D
1 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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New research unifies relational and temporal GNN expressivity
Researchers have explored the expressivity of sparse graph neural networks (GNNs) within the framework of the Strong Expressive Lottery Ticket Hypothesis (SELTH). The study generalizes this hypothesis to multi-relationa…
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Recurrent Graph Neural Networks: Halting vs. Converging Expressiveness Studied
A new paper explores the expressiveness of different Recurrent Graph Neural Network (RGNN) models, specifically focusing on converging, output-converging, and halting RGNNs. The research establishes that on undirected g…