Cover Image

View-based Explanations for Graph Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Tingyang, Qiu, Dazhuo, Wu, Yinghui, Khan, Arijit, Ke, Xiangyu, Gao, Yunjun
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Finding Counterfactual Evidences for Node Classification
by: Qiu, Dazhuo, et al.
Published: (2025)

Graph Data Management and Graph Machine Learning: Synergies and Opportunities
by: Khan, Arijit, et al.
Published: (2025)

Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
by: Ruan, Jiancheng, et al.
Published: (2025)

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

In-context Clustering-based Entity Resolution with Large Language Models: A Design Space Exploration
by: Fu, Jiajie, et al.
Published: (2025)

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

Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views
by: Chen, Tingyang, et al.
Published: (2025)

Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search
by: Chen, Tingyang, et al.
Published: (2025)

Database Views as Explanations for Relational Deep Learning
by: Rissaki, Agapi, et al.
Published: (2025)

Graph Neural Networks on Graph Databases
by: Lopushanskyy, Dmytro, et al.
Published: (2024)

Maximum Inner Product is Query-Scaled Nearest Neighbor
by: Chen, Tingyang, et al.
Published: (2025)

Accelerating Graph Indexing for ANNS on Modern CPUs
by: Wang, Mengzhao, et al.
Published: (2025)

Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
by: Liao, Ningyi, et al.
Published: (2024)

gHAWK: Local and Global Structure Encoding for Scalable Training of Graph Neural Networks on Knowledge Graphs
by: Sabir, Humera, et al.
Published: (2025)

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks
by: Li, Haoyang, et al.
Published: (2025)

Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
by: Merkel, Nikolai, et al.
Published: (2024)

MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances
by: Ge, Congcong, et al.
Published: (2025)

Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
by: Schwabe, Tim, et al.
Published: (2023)

GTS: GPU-based Tree Index for Fast Similarity Search
by: Zhu, Yifan, et al.
Published: (2024)

Accelerating Storage-Based Training for Graph Neural Networks
by: Jang, Myung-Hwan, et al.
Published: (2026)

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

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version)
by: Liu, Hengyu, et al.
Published: (2025)

GNN: Graph Neural Network and Large Language Model for Data Discovery
by: Hoang, Thomas
Published: (2024)

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
by: Fu, Xingcheng, et al.
Published: (2024)

Predictive Query-based Pipeline for Graph Data
by: Neto, Plácido A Souza
Published: (2024)

Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks
by: Niro, Alessandro, et al.
Published: (2024)

Graph-based Active Learning for Entity Cluster Repair
by: Christen, Victor, et al.
Published: (2024)

Top Ten Challenges Towards Agentic Neural Graph Databases
by: Bai, Jiaxin, et al.
Published: (2025)

Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
by: Bas, Sumeyye, et al.
Published: (2024)

A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
by: Wang, Yun, et al.
Published: (2024)

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

Privacy-Preserved Neural Graph Databases
by: Hu, Qi, et al.
Published: (2023)

An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
by: Wang, Mengzhao, et al.
Published: (2024)

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

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
by: Färber, Michael, et al.
Published: (2025)

EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
by: Merkel, Nikolai, et al.
Published: (2026)

Query Performance Explanation through Large Language Model for HTAP Systems
by: Xiu, Haibo, et al.
Published: (2024)