Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:41:32.944945Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2412.14223.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:41:32.944945Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
78 of 78 outbound references displayed
External citation measurements
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy , " * write output.state after.block = add.period write newline
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy J.; and Kim, M
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Uncertainty Sets for Image Classifiers using Conformal Prediction
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy V.; and Tiao, L
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Fast Graph Representation Learning with PyTorch Geometric
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy GraphMAE: Self-Supervised Masked Graph Autoencoders
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy H.-H.; Shen, Y.; and Cremers, D
Reference 21
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy H.-H.; Shen, Y.; Tomani, C.; and Cremers, D
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Semi-Supervised Classification with Graph Convolutional Networks
Reference 27
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
Reference 28
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
Reference 29
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Reference 30
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Is Homophily a Necessity for Graph Neural Networks?
Reference 34
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Reference 35
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
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Reference 40
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Reference 41
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
Reference 42
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Geom-GCN: Geometric Graph Convolutional Networks
Reference 45
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Beyond calibration: estimating the grouping loss of modern neural networks
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Reference 47
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Reference 48
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Reference 49
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Reference 50
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Pitfalls of Graph Neural Network Evaluation
Reference 53
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks
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Reference 55
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
Reference 64
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Energy-based Out-of-Distribution Detection for Graph Neural Networks
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Reference 70
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
Reference 75
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
Reference 76
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Unresolved cited work
Reference 77
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Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Reference 78
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