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  3. $P^2$GNN: Two Prototype Sets to boost GNN Performance
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$P^2$GNN: Two Prototype Sets to boost GNN Performance

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: $P^2$GNN: Two Prototype Sets to boost GNN Performance

PDF: https://arxiv.org/pdf/2603.09195v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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$P^2$GNN: Two Prototype Sets to boost GNN Performance

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Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

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References: 0

Sources: 0

Coverage: 17%

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Prior Work
PEANUT: Perturbations by Eigenvalue Alignment for Attacking GNNs Under Topology-Driven Message Passing
Score 7.0stable
Prior Work
Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
Score 7.0stable
Prior Work
Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis
Score 7.0stable
Competing Approach
Lost in Aggregation: On a Fundamental Expressivity Limit of Message-Passing Graph Neural Networks
Score 2.0down
Competing Approach
Graph Negative Feedback Bias Correction Framework for Adaptive Heterophily Modeling
Score 3.0down
Competing Approach
Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
Score 7.0stable
Competing Approach
Position: Spectral GNNs Are Neither Spectral Nor Superior for Node Classification
Score 3.0down
Competing Approach
Revealing Combinatorial Reasoning of GNNs via Graph Concept Bottleneck Layer
Score 5.0down

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