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A Brief Survey for Fake News Detection via Deep Learning Models

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Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks

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Fraud Detection in Online Product Review Systems via Heterogeneous Graph Transformer

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Adaptive Sampling Toward a Dynamic Graph Convolutional Network for Hyperspectral Image Classification

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PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor

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Graph neural networks with multiple kernel ensemble attention

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Transaction fraud detection via attentional spatial–temporal GNN

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Adaptive Graph Convolution Methods for Attributed Graph Clustering

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Hallucinating Visual Instances in Total Absentia

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Graph Neural Networks for Forecasting Realized Volatility with Nonlinear Spillover EffectsPreprint

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GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning Over Large-Scale Graphs

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Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach

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Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation LearningPreprint

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A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data

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Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks

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Forecasting realized volatility with spillover effects: Perspectives from graph neural networks

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DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation

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BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks

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InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease PredictionPreprint

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Synthesizing global and local perspectives in contrastive learning for graph anomaly detection

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Improving Graph Neural Networks with Structural Adaptive Receptive Fields

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Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization

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Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning

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InfoSTGCAN: An Information-Maximizing Spatial-Temporal Graph Convolutional Attention Network for Heterogeneous Human Trajectory Prediction

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Graph Anomaly Detection with Few Labels: A Data-Centric Approach

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Learning discrete adaptive receptive fields for graph convolutional networks

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Graph Neural Networks with Node-wise Architecture

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Multi-Cluster Graph (MCG): A Novel Clustering-Based Multi-Relation Graph Neural Networks for Stock Price Forecasting

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Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing

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GCCAD: Graph Contrastive Coding for Anomaly DetectionPreprint

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How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation

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Learning Adaptive Node Embeddings across Graphs

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PB-GCN: Progressive binary graph convolutional networks for skeleton-based action recognition

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Structure Fusion Based on Graph Convolutional Networks for Node Classification in Citation Networks

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Semi-supervised classification on graphs using explicit diffusion dynamics

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Kernel-based Graph Convolutional Networks

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Mining Mobile Network Fraudsters with Augmented Graph Neural Networks

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Neighbor-Anchoring Adversarial Graph Neural Networks

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Powerful graph of graphs neural network for structured entity analysis

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Recommending on graphs: a comprehensive review from a data perspective

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Domain-Adaptive Graph Attention-Supervised Network for Cross-Network Edge Classification

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Metapath and syntax-aware heterogeneous subgraph neural networks for spam review detection

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Knowledge Reasoning Method for Military Decision Support Knowledge Graph Mixing Rule and Graph Neural Networks Learning together

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A Robust Graph Fraud Detection Model Based on Adversarial Reweighting

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Path reliability-based graph attention networks

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Can Graph Neural Networks Go Deeper Without Over-Smoothing? Yes, With a Randomized Path Exploration!

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Identification and prediction method for acoustic emission and electromagnetic radiation signals of rock burst based on deep learning

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Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection

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Graph-CAT: Graph Co-Attention Networks via local and global attribute augmentations

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STGAE: Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising

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Hierarchical Multi-Modal Fusion on Dynamic Heterogeneous Graph for Health Insurance Fraud Detection

Zhang, J., Yang, F., Lin, K.-B., & Lai, Y. (2022) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme52920.2022.9859871 · Cited by 12

Union Subgraph Neural Networks

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The Probabilistic Liveness Decision Method of Unbounded Petri Nets Based on Machine Learning

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Ensemble of Graph Neural Networks for Enhanced Financial Fraud Detection

Hiremath, A., Arya, A., Sriranga, L., Reddy, K. C. S., & Nikhil, M. (2024) · 2024 IEEE 9th International Conference for Convergence in Technology (I2CT) · doi:10.1109/i2ct61223.2024.10543898 · Cited by 9

Visual Micro-Pattern Propagation

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Accelerating Point Cloud Registration With Low Overlap Using Graphs and Sparse Convolutions

Wu, Q., Wang, J., Zhang, Y., Dong, H., & Yi, C. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3283881 · Cited by 11

LFGCN: Levitating over Graphs with Levy Flights

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Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization PerspectivePreprint

Zhang, H., Yan, T., Xie, Z., Xia, Y., & Zhang, Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2009.11469 · Cited by 19

Enhanced Scalable Graph Neural Network via Knowledge Distillation

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VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection

Xiao, F., Cai, S.-F., Chen, G., Jagadish, H. V., Ooi, B. C., & Zhang, M.-H. (2024) · Knowledge Discovery and Data Mining · doi:10.1145/3637528.3671527 · Cited by 13

Treeago: Tree-structure aggregation and optimization for graph neural network

Wu, E., Cui, H., Chen, Z., & Welsch, R. E. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.03.021 · Cited by 10

InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs

Zhang, D., Song, X., Hu, Z., Li, Y., Tao, M., Hu, B., Wang, L., Zhang, Z., & Zhou, J. (2023) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde55515.2023.00248 · Cited by 10

Leveraging Relational Graph Neural Network for Transductive Model Ensemble

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Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing

Li, Y., Wu, Z., Cai, T., Liu, Z., Zhang, Z., Gu, L., Zeng, X., & Gu, J. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i17.17760 · Cited by 10

Graph Neural Networks in Data Mining

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xFraud: Explainable Fraud Transaction Detection on Heterogeneous GraphsPreprint

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Who are the evil backstage manipulators: Boosting graph attention networks against deep fraudsters

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Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection

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Adaptive receptive field graph neural networks

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Graph Neural Networks in Natural Language Processing

Ma, Y., & Tang, J. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108924184.015 · Cited by 9

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IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation

Yang, M., Cao, S., Hu, B., Chen, X., Cui, H., Zhang, Z., Zhou, J., & Li, X. (2021) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde51399.2021.00287 · Cited by 8

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce

Ye, B., Yang, S., Hu, B., Zhang, Z., He, Y., Huang, K., Zhou, J., & Fang, Y. (2022) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde53745.2022.00313 · Cited by 8

Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks

Wen, Z., Fang, Y., Liu, Y., Guo, Y., & Hao, S. (2023) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3583780.3615505 · Cited by 8

Graph transformer-based self-adaptive malicious relation filtering for fraudulent comments detection in social network

Li, L., & Xu, J. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.111005 · Cited by 7

Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters

Zheng, X.-P., Wu, B., Liang, X., & Li, W. (2024) · The Web Conference · doi:10.1145/3589334.3645706 · Cited by 14

Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling

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GHSCN: A Graph Neural Network-Based API Popularity Prediction Method in Service Ecosystem

Li, Z., Liu, X., Wang, T., He, W., & Xia, C. (2020) · IEEE Access · doi:10.1109/access.2020.3011439 · Cited by 7

An Attention and Wavelet Based Spatial-Temporal Graph Neural Network for Traffic Flow and Speed Prediction

Zhao, S., Xing, S., & Mao, G. (2022) · Mathematics · doi:10.3390/math10193507 · Cited by 7

Weighted-Dependency with Attention-Based Graph Convolutional Network for Relation Extraction

Dong, Y., & Xu, X. (2023) · Neural Processing Letters · doi:10.1007/s11063-023-11412-z · Cited by 7

Modeling Access Environment and Behavior Sequence for Financial Identity Theft Detection in E-Commerce Services

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Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research ResultsPreprint

Wang, C., Zhang, K., Wang, H., & Chen, B. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.07474 · Cited by 7

Graph Convolution with Low-rank Learnable Local FiltersPreprint

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Explainable Image Recognition With Graph-Based Feature Extraction

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FLAG: Fraud Detection with LLM-enhanced Graph Neural Network

Yang, C., Liu, H., Wang, D., Zhang, Z., Yang, C. H., & Shi, C. (2025) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3711896.3737220 · Cited by 12

A survey on graph neural networks

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Multi-Scale Aggregation Graph Neural Networks Based on Feature Similarity for Semi-Supervised Learning

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ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases

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Cross-media video event mining based on attention graph structure learning

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Non-Euclidean Self-Organizing Maps

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GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training StrategyPreprint

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Fraud detection at eBay

Rao, S., Han, Z.-C., Yin, H., Jiang, J., Zhang, Z.-T., Zhao, Y., & Shan, Y. (2025) · Emerging Markets Review · doi:10.1016/j.ememar.2025.101277 · Cited by 5

Relationship Spatialization for Depth Estimation

Xu, X., Qiu, J., Wang, X., & Wang, Z. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19836-6_35 · Cited by 5

Reinforced Cost-Sensitive Graph Network for Detecting Fraud Leaders in Telecom Fraud

Gao, P., Li, Z., Zhou, D.-B., & Zhang, L. (2024) · IEEE Access · doi:10.1109/access.2024.3448260 · Cited by 7

PathMLP: Smooth path towards high-order homophily

Zhou, J., Xie, C., Gong, S., Qian, J., Yu, S., Xuan, Q., & Yang, X. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106650 · Cited by 10

No PAIN no Gain: More Expressive GNNs with Paths

Graziani, C., Drucks, T., Bianchini, M., Scarselli, F., & Gärtner, T. (2023) · reposiTUm (TU Wien) · doi:10.34726/5429 · Cited by 1

Path Neural Networks: Expressive and Accurate Graph Neural NetworksPreprint

Michel, G., Nikolentzos, G., Lutzeyer, J. F., & Vazirgiannis, M. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2306.05955 · Cited by 7

Graph Neural Networks with Adaptive Readouts

Buterez, D., Janet, J. P., Kiddle, S. J., Oglić, D., & Liò, P. (2022) · neural information processing systems · doi:10.52202/068431-1435 · Cited by 10

The Expressive Power of Path-Based Graph Neural Networks

Graziani, C., Drucks, T., Jogl, F., Bianchini, M., Scarselli, F., & Gartner, T. (2024) · Use Siena air (University of Siena)

Graph Neural Networks with Adaptive Residual

Liu, X., Ding, J., Jin, W., Xu, H., Ma, Y., Liu, Z., & Tang, J. (2021) · neural information processing systems · Cited by 42