Cover Image

Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zou, Qi, Yu, Na, Zhang, Daoliang, Zhang, Wei, Gao, Rui
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
by: Peng, Tianhao, et al.
Published: (2023)

Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks
by: Yu, Ke, et al.
Published: (2026)

Commute Graph Neural Networks
by: Zhuo, Wei, et al.
Published: (2024)

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
by: Du, Junliang, et al.
Published: (2024)

Towards Few-shot Self-explaining Graph Neural Networks
by: Peng, Jingyu, et al.
Published: (2024)

Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)

Spectro-Riemannian Graph Neural Networks
by: Grover, Karish, et al.
Published: (2025)

Residual Reweighted Conformal Prediction for Graph Neural Networks
by: Zhang, Zheng, et al.
Published: (2025)

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
by: Guo, Jingwei, et al.
Published: (2024)

Systematic Relational Reasoning With Epistemic Graph Neural Networks
by: Khalid, Irtaza, et al.
Published: (2024)

GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
by: Zhao, Songwei, et al.
Published: (2025)

Sparse Decomposition of Graph Neural Networks
by: Hu, Yaochen, et al.
Published: (2024)

Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2023)

Factor Graph-based Interpretable Neural Networks
by: Li, Yicong, et al.
Published: (2025)

Detecting High-Potential SMEs with Heterogeneous Graph Neural Networks
by: Qi, Yijiashun, et al.
Published: (2026)

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)

Graph Unlearning: Efficient Node Removal in Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2025)

Non-Euclidean Spatial Graph Neural Network
by: Zhang, Zheng, et al.
Published: (2023)

MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
by: Yu, Zhaoning, et al.
Published: (2024)

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
by: Zhang, Jiaxing, et al.
Published: (2025)

Graphs Unveiled: Graph Neural Networks and Graph Generation
by: Kovács, László, et al.
Published: (2024)

Graph Neural Architecture Search with GPT-4
by: Wang, Haishuai, et al.
Published: (2023)

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
by: Luo, Renqiang, et al.
Published: (2024)

ComFairGNN: Community Fair Graph Neural Network
by: Sium, Yonas, et al.
Published: (2024)

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
by: Amara, Kenza, et al.
Published: (2022)

Unifying Adversarial Perturbation for Graph Neural Networks
by: Yang, Jinluan, et al.
Published: (2025)

Universal Prompt Tuning for Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2022)

Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
by: Li, Xiaodi, et al.
Published: (2024)

Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
by: Dai, Yanjun, et al.
Published: (2025)

Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)

Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
by: Sattar, Asma, et al.
Published: (2024)

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module
by: Zhou, Jingbo, et al.
Published: (2023)

A General Benchmark Framework is Dynamic Graph Neural Network Need
by: Zhang, Yusen
Published: (2024)

Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
by: Shen, Siqi, et al.
Published: (2025)

FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection
by: Cao, Rui, et al.
Published: (2024)

InterCorpRel-LLM: Enhancing Financial Relational Understanding with Graph-Language Models
by: Sun, Qianyou, et al.
Published: (2025)

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
by: Wang, Ting, et al.
Published: (2025)

Are We Measuring Oversmoothing in Graph Neural Networks Correctly?
by: Zhang, Kaicheng, et al.
Published: (2025)

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2025)