Image de couverture de livre

TACENR: Task-Agnostic Contrastive Explanations for Node Representations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Papanikou, Vasiliki, Pitoura, Evaggelia
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
par: Fragkathoulas, Christos, et autres
Publié: (2024)

Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
par: Papanikou, Vasiliki, et autres
Publié: (2025)

Health Misinformation in Social Networks: A Survey of IT Approaches
par: Papanikou, Vasiliki, et autres
Publié: (2024)

GALACTIC: Global and Local Agnostic Counterfactuals for Time-series Clustering
par: Fragkathoulas, Christos, et autres
Publié: (2026)

On Explaining Unfairness: An Overview
par: Fragkathoulas, Christos, et autres
Publié: (2024)

UGCE: User-Guided Incremental Counterfactual Exploration
par: Fragkathoulas, Christos, et autres
Publié: (2025)

Counterfactual Explanations for k-means and Gaussian Clustering
par: Vardakas, Georgios, et autres
Publié: (2025)

Path-based summary explanations for graph recommenders (extended version)
par: Karidi, Danae Pla, et autres
Publié: (2024)

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
par: Kang, Hyunju, et autres
Publié: (2026)

Improving Node Representation by Boosting Target-Aware Contrastive Loss
par: Lin, Ying-Chun, et autres
Publié: (2024)

Learning Model Agnostic Explanations via Constraint Programming
par: Koriche, Frederic, et autres
Publié: (2024)

Causality-Aware Local Interpretable Model-Agnostic Explanations
par: Cinquini, Martina, et autres
Publié: (2022)

X-Node: Self-Explanation is All We Need
par: Sengupta, Prajit, et autres
Publié: (2025)

Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation
par: Falahati, Ali, et autres
Publié: (2024)

KGRAG-Ex: Explainable Retrieval-Augmented Generation with Knowledge Graph-based Perturbations
par: Balanos, Georgios, et autres
Publié: (2025)

RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
par: Arefeen, Asiful, et autres
Publié: (2025)

Global Concept Explanations for Graphs by Contrastive Learning
par: Teufel, Jonas, et autres
Publié: (2024)

Comparing Task-Agnostic Embedding Models for Tabular Data
par: Hoppe, Frederik, et autres
Publié: (2025)

Interpreting Language Reward Models via Contrastive Explanations
par: Jiang, Junqi, et autres
Publié: (2024)

PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations
par: Zhang, Yang, et autres
Publié: (2026)

Disentangled and Self-Explainable Node Representation Learning
par: Piaggesi, Simone, et autres
Publié: (2024)

DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations
par: Guo, Yuhan, et autres
Publié: (2025)

Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
par: Fan, Chenyou, et autres
Publié: (2024)

Task Agnostic Architecture for Algorithm Induction via Implicit Composition
par: Sindhi, Sahil J., et autres
Publié: (2024)

Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning
par: Zhao, Yuqing, et autres
Publié: (2024)

Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
par: Yang, Yupei, et autres
Publié: (2024)

Concept-Based Abductive and Contrastive Explanations for Behaviors of Vision Models
par: Canizales, Ronaldo, et autres
Publié: (2026)

ASPECT: Node-Level Adaptive Spectral Fusion for Graph Contrastive Learning
par: Li, Zhuolong, et autres
Publié: (2026)

SHAP-based Explanations are Sensitive to Feature Representation
par: Hwang, Hyunseung, et autres
Publié: (2025)

Multi-View Node Pruning for Accurate Graph Representation
par: Kim, Hanjin, et autres
Publié: (2025)

Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning
par: Zuo, Rui, et autres
Publié: (2024)

Contrastive Representations for Temporal Reasoning
par: Ziarko, Alicja, et autres
Publié: (2025)

Fast and Featureless Node Representation Learning with Partial Pairwise Supervision
par: Chakraborty, Sujan, et autres
Publié: (2026)

Combining Euclidean and Hyperbolic Representations for Node-level Anomaly Detection
par: Mungari, Simone, et autres
Publié: (2025)

GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models
par: Tiwari, Anushka, et autres
Publié: (2025)

Contrast Similarity-Aware Dual-Pathway Mamba for Multivariate Time Series Node Classification
par: Du, Mingsen, et autres
Publié: (2024)

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
par: Saporta, Adriel, et autres
Publié: (2024)

Task and Explanation Network
par: Sipper, Moshe
Publié: (2024)

Beyond Parameter Finetuning: Test-Time Representation Refinement for Node Classification
par: Zhang, Jiaxin, et autres
Publié: (2026)

Fast and Robust Contextual Node Representation Learning over Dynamic Graphs
par: Guo, Xingzhi, et autres
Publié: (2024)