ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.08845
  4. Cited By
Feature Attribution with Necessity and Sufficiency via Dual-stage
  Perturbation Test for Causal Explanation

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation

13 February 2024
Xuexin Chen
Ruichu Cai
Zhengting Huang
Yuxuan Zhu
Julien Horwood
Zhifeng Hao
Zijian Li
Jose Miguel Hernandez-Lobato
    AAML
ArXivPDFHTML

Papers citing "Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation"

3 / 3 papers shown
Title
Unifying Invariant and Variant Features for Graph Out-of-Distribution
  via Probability of Necessity and Sufficiency
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
Xuexin Chen
Ruichu Cai
Kaitao Zheng
Zhifan Jiang
Zhengting Huang
Zhifeng Hao
Zijian Li
44
0
0
21 Jul 2024
IDGI: A Framework to Eliminate Explanation Noise from Integrated
  Gradients
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients
Ruo Yang
Binghui Wang
M. Bilgic
24
17
0
24 Mar 2023
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
Ana Lucic
Maartje ter Hoeve
Gabriele Tolomei
Maarten de Rijke
Fabrizio Silvestri
110
142
0
05 Feb 2021
1