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New framework quantifies directional influence in spatial graphs

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new framework called the Counterfactual Directionality Score (CDS) to quantify directional influence between node populations in graph-based models, particularly for spatial biological systems. This method trains a Neighbor Influence Model (NIM) and applies structured counterfactual interventions to assess how targeted perturbations affect predicted node states. Experiments on synthetic data and spatial transcriptomics show that CDS can accurately identify directional influences and provide reliable uncertainty estimates. AI

IMPACT This framework could improve the analysis of complex biological systems by providing a more principled way to understand causal relationships between components.

RANK_REASON The cluster contains a research paper detailing a new framework and methodology for graph-based modeling.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New framework quantifies directional influence in spatial graphs

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The cluster contains a research paper detailing a new framework and methodology for graph-based modeling.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Humaira Anzum, Md Ishtyaq Mahmud, Jagan Mohan Reddy Dwarampudi, Tania Banerjee ·

    CDS: Counterfactual Directionality Score for Structured Interventions in Spatial Graphs

    arXiv:2607.13508v1 Announce Type: new Abstract: Quantifying directional influence between node populations is a fundamental problem in graph-based modeling, particularly in spatial biological systems where cell-cell interactions shape functional outcomes. Existing approaches base…

  2. arXiv cs.LG TIER_1 English(EN) · Tania Banerjee ·

    CDS: Counterfactual Directionality Score for Structured Interventions in Spatial Graphs

    Quantifying directional influence between node populations is a fundamental problem in graph-based modeling, particularly in spatial biological systems where cell-cell interactions shape functional outcomes. Existing approaches based on attention, attribution, or correlation capt…

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