Farhad Shirani
5 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Research topics
Keywords
graph neural network
(3)
semi-supervised learning
(1)
information bottleneck
(1)
self-supervised learning
(1)
graph representation learning
(1)
data augmentation
(1)
explainable ai
(1)
model interpretability
(1)
message passing
(1)
distribution shift
(1)
distributional shift
(1)
graph information bottleneck
(1)
information leakage
(1)
post-hoc explanation
(1)
time series data
(1)
faithfulness evaluation
(1)
model retraining
(1)
subgraph extraction
(1)
factorized explanation
(1)
explanation-embedded instances
(1)
Papers
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
AAAI 2026
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
ICLR 2025
Factorized Explainer for Graph Neural Networks
AAAI 2024
TimeX++: Learning Time-Series Explanations with Information Bottleneck
ICML 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
ICLR 2024