Cover Image

Finding Counterfactual Evidences for Node Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qiu, Dazhuo, Chen, Jinwen, Khan, Arijit, Zhao, Yan, Bonchi, Francesco
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generating Robust Counterfactual Witnesses for Graph Neural Networks
by: Qiu, Dazhuo, et al.
Published: (2024)

Interpreting Graph Inference with Skyline Explanations
by: Qiu, Dazhuo, et al.
Published: (2025)

View-based Explanations for Graph Neural Networks
by: Chen, Tingyang, et al.
Published: (2024)

DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows
by: Chen, Jinwen, et al.
Published: (2025)

LLM+KG@VLDB'24 Workshop Summary
by: Khan, Arijit, et al.
Published: (2024)

SliceGX: Layer-wise GNN Explanation with Model-slicing
by: Zhu, Tingting, et al.
Published: (2025)

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
by: Yang, Xinyu, et al.
Published: (2024)

AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
by: Li, Xunkai, et al.
Published: (2024)

FedST: Secure Federated Shapelet Transformation for Time Series Classification
by: Liang, Zhiyu, et al.
Published: (2023)

Mining Negative Sequential Patterns to Improve Viral Genomic Feature Representation and Classification
by: Zhu, Wenxi, et al.
Published: (2026)

A Self-Explainable Heterogeneous GNN for Relational Deep Learning
by: Ferrini, Francesco, et al.
Published: (2024)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
by: Miao, Hao, et al.
Published: (2024)

Model-Free Counterfactual Subset Selection at Scale
by: Nguyen, Minh Hieu, et al.
Published: (2025)

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
by: Yuan, Xinyu, et al.
Published: (2024)

An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
by: Zhang, Buang, et al.
Published: (2025)

Piece of CAKE: Adaptive Execution Engines via Microsecond-Scale Learning
by: Zhao, Zijie, et al.
Published: (2026)

The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving
by: Zeng, Pai, et al.
Published: (2024)

QoS-QoE Translation with Large Language Model
by: Yu, Yingjie, et al.
Published: (2026)

Preventing the Popular Item Embedding Based Attack in Federated Recommendations
by: Zhang, Jun, et al.
Published: (2025)

LEANN: A Low-Storage Vector Index
by: Wang, Yichuan, et al.
Published: (2025)

TransClean: Finding False Positives in Multi-Source Entity Matching under Real-World Conditions via Transitive Consistency
by: Pardo, Fernando de Meer, et al.
Published: (2025)

TODS: An Automated Time Series Outlier Detection System
by: Lai, Kwei-Herng, et al.
Published: (2020)

Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
by: Zhang, Zizhao, et al.
Published: (2025)

IRG: Modular Synthetic Relational Database Generation with Complex Relational Schemas
by: Li, Jiayu, et al.
Published: (2023)

Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)

Exploring the Heterogeneity of Tabular Data: A Diversity-aware Data Generator via LLMs
by: Tang, Yafeng, et al.
Published: (2025)

NeurStore: Efficient In-database Deep Learning Model Management System
by: Xiang, Siqi, et al.
Published: (2025)

Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models
by: Liu, Xinyuan, et al.
Published: (2025)

A Comprehensive Study of Shapley Value in Data Analytics
by: Lin, Hong, et al.
Published: (2024)

ZeroED: Hybrid Zero-shot Error Detection through Large Language Model Reasoning
by: Ni, Wei, et al.
Published: (2025)

ACE: A Cardinality Estimator for Set-Valued Queries
by: Sheng, Yufan, et al.
Published: (2025)

DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes
by: Ji, Chaonan, et al.
Published: (2024)

Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
by: Kathiriya, Niket, et al.
Published: (2024)

Bullion: A Column Store for Machine Learning
by: Liao, Gang, et al.
Published: (2024)

SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
by: Wu, Yifan, et al.
Published: (2026)

CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
by: Xue, Rui, et al.
Published: (2025)

Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
by: Liu, Zhouyang, et al.
Published: (2025)

Sibyl: Forecasting Time-Evolving Query Workloads
by: Huang, Hanxian, et al.
Published: (2024)

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
by: Liang, Zhiyu, et al.
Published: (2024)

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
by: Liang, Zhiyu, et al.
Published: (2023)