:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Peiru, Zhai, Maojun, Zhang, Lingzhu
Format:	Preprint
Published:	2025
Subjects:	Social and Information Networks Machine Learning
Online Access:	https://arxiv.org/abs/2511.00768
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems
by: Senapati, Aadarsh, et al.
Published: (2026)

Demystifying Oversmoothing in Attention-Based Graph Neural Networks
by: Wu, Xinyi, et al.
Published: (2023)

A Unified Graph Selective Prompt Learning for Graph Neural Networks
by: Jiang, Bo, et al.
Published: (2024)

A Spectral Framework for Evaluating Geodesic Distances Between Graphs
by: Shuvo, Soumen Sikder, et al.
Published: (2024)

Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning
by: Fan, Xudong, et al.
Published: (2025)

Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
by: Liu, Junhua, et al.
Published: (2024)

Conditional Local Feature Encoding for Graph Neural Networks
by: Wang, Yongze, et al.
Published: (2024)

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
by: Nippani, Abhinav, et al.
Published: (2023)

HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
by: Mao, Xuqi, et al.
Published: (2025)

A Deep Learning Framework for Evaluating Dynamic Network Generative Models and Anomaly Detection
by: Rashnu, Alireza, et al.
Published: (2024)

GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
by: Wu, Tao, et al.
Published: (2024)

The Expressive Power of Graph Neural Networks: A Survey
by: Zhang, Bingxu, et al.
Published: (2023)

Feature Selection and Extraction for Graph Neural Networks
by: Acharya, Deepak Bhaskar, et al.
Published: (2019)

Disambiguated Node Classification with Graph Neural Networks
by: Zhao, Tianxiang, et al.
Published: (2024)

Graph Neural Networks with Diverse Spectral Filtering
by: Guo, Jingwei, et al.
Published: (2023)

Understanding the Robustness of Graph Neural Networks against Adversarial Attacks
by: Wu, Tao, et al.
Published: (2024)

Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding
by: Jiang, Mengying, et al.
Published: (2024)

Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
by: Yang, Yuxin, et al.
Published: (2024)

Harnessing Rich Multi-Modal Data for Spatial-Temporal Homophily-Embedded Graph Learning Across Domains and Localities
by: Kurihana, Takuya, et al.
Published: (2025)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
by: Xie, Beini, et al.
Published: (2024)

Towards Robust Graph Structural Learning Beyond Homophily via Preserving Neighbor Similarity
by: Zhu, Yulin, et al.
Published: (2024)

Incorporating Heterophily into Graph Neural Networks for Graph Classification
by: Yang, Jiayi, et al.
Published: (2022)

Inferring Graphs from Cascades: A Sparse Recovery Framework
by: Pouget-Abadie, Jean, et al.
Published: (2015)

GISExplainer: On Explainability of Graph Neural Networks via Game-theoretic Interaction Subgraphs
by: Xian, Xingping, et al.
Published: (2024)

Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)

A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective
by: Zhao, Ziwen, et al.
Published: (2024)

A Survey of Graph Neural Networks for Social Recommender Systems
by: Sharma, Kartik, et al.
Published: (2022)

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
by: Wang, Zixiao, et al.
Published: (2022)

What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
by: Zheng, Yilun, et al.
Published: (2024)

Heterophily-Aware Graph Attention Network
by: Wang, Junfu, et al.
Published: (2023)

Forward Learning of Graph Neural Networks
by: Park, Namyong, et al.
Published: (2024)

A Graph Neural Network deep-dive into successful counterattacks
by: Bekkers, Joris, et al.
Published: (2024)

PropEnc: A Property Encoder for Graph Neural Networks
by: Said, Anwar, et al.
Published: (2024)

Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation
by: Abbahaddou, Yassine, et al.
Published: (2024)

Similarity-based Neighbor Selection for Graph LLMs
by: Li, Rui, et al.
Published: (2024)

Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection
by: Carocci, Luca Silvano, et al.
Published: (2024)

GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering
by: Deprez, Bruno, et al.
Published: (2025)

A Spectral Framework for Tracking Communities in Evolving Networks
by: Hume, Jacob, et al.
Published: (2024)

How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
by: Huang, Keke, et al.
Published: (2024)

Visiting Distant Neighbors in Graph Convolutional Networks
by: Hashemi, Alireza, et al.
Published: (2023)