:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shen, Jiajun, Jin, Yufei, He, Yi, Zhu, Xingquan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.09843
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LHGEL: Large Heterogeneous Graph Ensemble Learning using Batch View Aggregation
by: Shen, Jiajun, et al.
Published: (2025)

Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
by: Jin, Yufei, et al.
Published: (2024)

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

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

COMBA: Cross Batch Aggregation for Learning Large Graphs with Context Gating State Space Models
by: Shen, Jiajun, et al.
Published: (2026)

LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
by: Cheng, Xu, et al.
Published: (2025)

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs
by: Fu, Yuqian, et al.
Published: (2025)

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

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

FedRecon: Missing Modality Reconstruction in Heterogeneous Distributed Environments
by: Liu, Junming, et al.
Published: (2025)

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

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
by: Li, Peiyuan, et al.
Published: (2026)

HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
by: Zhang, Yue, et al.
Published: (2024)

Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
by: Abdolali, Maryam, et al.
Published: (2025)

BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis
by: Ma, Jiajun, et al.
Published: (2025)

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

Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
by: Park, Jongmin, et al.
Published: (2024)

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

A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures
by: Song, Hao, et al.
Published: (2024)

HGMP:Heterogeneous Graph Multi-Task Prompt Learning
by: Jiao, Pengfei, et al.
Published: (2025)

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
by: Ding, Yongqi, et al.
Published: (2025)

RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
by: Song, Jialei, et al.
Published: (2025)

E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
by: Zhang, Xin, et al.
Published: (2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024)

TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
by: Liu, Yezi, et al.
Published: (2024)

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

SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
by: Hong, Ming-Yi, et al.
Published: (2024)

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
by: Kim, Jongwoo, et al.
Published: (2024)

Applying Ensemble Models based on Graph Neural Network and Reinforcement Learning for Wind Power Forecasting
by: Song, Hongjin, et al.
Published: (2025)

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

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)

When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
by: Shen, Zhixiang, et al.
Published: (2024)

Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Yujie, et al.
Published: (2026)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
by: Zhao, Gongpei, et al.
Published: (2024)

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles
by: Arrighi, Leonardo, et al.
Published: (2024)

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning
by: Liu, Siyu, et al.
Published: (2026)

AGHINT: Attribute-Guided Representation Learning on Heterogeneous Information Networks with Transformer
by: Yuan, Jinhui, et al.
Published: (2024)

HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction
by: Zhang, Qin-Yi, et al.
Published: (2026)

FA-INR: Adaptive Implicit Neural Representations for Interpretable Exploration of Simulation Ensembles
by: Li, Ziwei, et al.
Published: (2025)

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets
by: Jiang, Xuhui, et al.
Published: (2023)