Cover Image

Detecting High-Potential SMEs with Heterogeneous Graph Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Yijiashun, Guo, Hanzhe, Qi, Yijiazhen
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pipeline
by: Qi, Yijiashun, et al.
Published: (2026)

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

Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
by: Chen, Qin, et al.
Published: (2025)

Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning
by: Li, Hanzhe, et al.
Published: (2024)

Simple and Efficient Heterogeneous Temporal Graph Neural Network
by: Wang, Yili, et al.
Published: (2025)

Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships
by: Zou, Qi, et al.
Published: (2024)

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

MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
by: Wu, Mei, et al.
Published: (2025)

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

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

Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
by: Yang, Xiao, et al.
Published: (2025)

Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
by: Wang, Yili
Published: (2024)

Conjugate Learning Theory: Uncovering the Mechanisms of Trainability and Generalization in Deep Neural Networks
by: Qi, Binchuan
Published: (2026)

Deep Graph Neural Point Process For Learning Temporal Interactive Networks
by: Chen, Su, et al.
Published: (2025)

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
by: Bei, Yuanchen, et al.
Published: (2024)

Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks
by: Liu, Junyi, et al.
Published: (2025)

CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning
by: Cheng, Yinghan, et al.
Published: (2024)

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

C3DE: Causal-Aware Collaborative Neural Controlled Differential Equation for Long-Term Urban Crowd Flow Prediction
by: Liu, Yuting, et al.
Published: (2025)

HGEN: Heterogeneous Graph Ensemble Networks
by: Shen, Jiajun, et al.
Published: (2025)

Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems
by: Zhou, Ao, et al.
Published: (2024)

GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
by: Xu, Tianxiang, et al.
Published: (2025)

Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs
by: Lu, Fan, et al.
Published: (2024)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)

Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
by: Tian, Yuxing, et al.
Published: (2024)

Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
by: de Jong, Matthijs, et al.
Published: (2025)

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
by: Ma, Yihong, et al.
Published: (2023)

GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration
by: Qiao, Tong, et al.
Published: (2024)

LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
by: Du, Lin, et al.
Published: (2025)

XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
by: Farrukh, Yasir Ali, et al.
Published: (2024)

Graph Neural Network with One-side Edge Sampling for Fraud Detection
by: Trieu, Hoang Hiep
Published: (2026)

Quantum Topological Graph Neural Networks for Detecting Complex Fraud Patterns
by: Doost, Mohammad, et al.
Published: (2025)

MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs
by: Chen, Jiawen, et al.
Published: (2025)

HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity
by: Sang, Shilong, et al.
Published: (2025)

HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition
by: Qi, Miao, et al.
Published: (2024)

TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks
by: Wang, Ta-Yang, et al.
Published: (2026)

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

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

Neural Expectation Operators
by: Qi, Qian
Published: (2025)

A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms
by: Hewageegana, Kanishka, et al.
Published: (2025)