RoleMAG learns neighbor roles in multimodal graphs to route shared, complementary, and heterophilous signals through separate channels, improving propagation without modality interference.
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3 Pith papers cite this work, alongside 19 external citations. Polarity classification is still indexing.
3
Pith papers citing it
19
external citations · external index
years
2026 3verdicts
UNVERDICTED 3representative citing papers
ResAware improves cross-environment website fingerprinting robustness by distilling resource-privileged knowledge into a traffic-only student model, raising Var-CNN F1 from 72.77% to 81.49% under 150-day drift on a 160k-sample dataset.
A modified graph Laplacian incorporating subspace projections, spectral adjustments, and frequency-based filtering is proposed to improve fairness in diffusion-based graph neural networks while preserving competitive performance.
citing papers explorer
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RoleMAG: Learning Neighbor Roles in Multimodal Graphs
RoleMAG learns neighbor roles in multimodal graphs to route shared, complementary, and heterophilous signals through separate channels, improving propagation without modality interference.
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ResAware: Cross-Environment Website Fingerprinting via Resource-Privileged Distillation
ResAware improves cross-environment website fingerprinting robustness by distilling resource-privileged knowledge into a traffic-only student model, raising Var-CNN F1 from 72.77% to 81.49% under 150-day drift on a 160k-sample dataset.
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Geometrical fairness in graph neural networks
A modified graph Laplacian incorporating subspace projections, spectral adjustments, and frequency-based filtering is proposed to improve fairness in diffusion-based graph neural networks while preserving competitive performance.