Directed Homophily-Aware Graph Neural Network
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Aihu, Xu, Jiaxing, Lan, Mengcheng, Xiang, Shili, Ke, Yiping |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Union Subgraph Neural Networks
by: Xu, Jiaxing, et al.
Published: (2023)
by: Xu, Jiaxing, et al.
Published: (2023)
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
A Class-Aware Representation Refinement Framework for Graph Classification
by: Xu, Jiaxing, et al.
Published: (2022)
by: Xu, Jiaxing, et al.
Published: (2022)
Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023)
by: Xu, Jiaxing, et al.
Published: (2023)
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion
by: Xu, Jiaxing, et al.
Published: (2024)
by: Xu, Jiaxing, et al.
Published: (2024)
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
by: Xu, Jiaxing, et al.
Published: (2025)
by: Xu, Jiaxing, et al.
Published: (2025)
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
by: Xu, Jiaxing, et al.
Published: (2024)
by: Xu, Jiaxing, et al.
Published: (2024)
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations
by: Lei, Han, et al.
Published: (2025)
by: Lei, Han, et al.
Published: (2025)
Enhancing Spectral Graph Neural Networks with LLM-Predicted Homophily
by: Lu, Kangkang, et al.
Published: (2025)
by: Lu, Kangkang, et al.
Published: (2025)
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
by: Guo, Jingwei, et al.
Published: (2022)
by: Guo, Jingwei, et al.
Published: (2022)
ASEHybrid: When Geometry Matters Beyond Homophily in Graph Neural Networks
by: Manir, Shalima Binta, et al.
Published: (2026)
by: Manir, Shalima Binta, et al.
Published: (2026)
Homophily-aware Supervised Contrastive Counterfactual Augmented Fair Graph Neural Network
by: Kejani, Mahdi Tavassoli, et al.
Published: (2026)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2026)
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
by: Zhang, Jiaxing, et al.
Published: (2025)
by: Zhang, Jiaxing, et al.
Published: (2025)
$α$-GAN by Rényi Cross Entropy
by: Ding, Ni, et al.
Published: (2025)
by: Ding, Ni, et al.
Published: (2025)
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling
by: Mancini, K., et al.
Published: (2024)
by: Mancini, K., et al.
Published: (2024)
Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
by: Hevapathige, Asela, et al.
Published: (2025)
by: Hevapathige, Asela, et al.
Published: (2025)
Geometry-Aware Spiking Graph Neural Network
by: Zhang, Bowen, et al.
Published: (2025)
by: Zhang, Bowen, et al.
Published: (2025)
Homophily-aware Heterogeneous Graph Contrastive Learning
by: Wang, Haosen, et al.
Published: (2025)
by: Wang, Haosen, et al.
Published: (2025)
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
by: Luan, Sitao, et al.
Published: (2023)
by: Luan, Sitao, et al.
Published: (2023)
Revisiting Graph Homophily Measures
by: Mironov, Mikhail, et al.
Published: (2024)
by: Mironov, Mikhail, et al.
Published: (2024)
Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
by: Qiu, Ruizhong, et al.
Published: (2025)
by: Qiu, Ruizhong, et al.
Published: (2025)
Saliency-Aware Regularized Graph Neural Network
by: Pei, Wenjie, et al.
Published: (2024)
by: Pei, Wenjie, et al.
Published: (2024)
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph
by: Mendelman, Harel, et al.
Published: (2025)
by: Mendelman, Harel, et al.
Published: (2025)
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
by: Chen, Zhuomin, et al.
Published: (2024)
by: Chen, Zhuomin, et al.
Published: (2024)
Data Pricing for Graph Neural Networks without Pre-purchased Inspection
by: Liu, Yiping, et al.
Published: (2025)
by: Liu, Yiping, et al.
Published: (2025)
Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
by: Ai, Guoguo, et al.
Published: (2025)
by: Ai, Guoguo, et al.
Published: (2025)
Stealing Training Graphs from Graph Neural Networks
by: Lin, Minhua, et al.
Published: (2024)
by: Lin, Minhua, et al.
Published: (2024)
Disentangling Homophily and Heterophily in Multimodal Graph Clustering
by: Guo, Zhaochen, et al.
Published: (2025)
by: Guo, Zhaochen, et al.
Published: (2025)
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach
by: Liu, Yunhui, et al.
Published: (2026)
by: Liu, Yunhui, et al.
Published: (2026)
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training
by: Xu, Wen, et al.
Published: (2026)
by: Xu, Wen, et al.
Published: (2026)
Aligning the Spectrum: Hybrid Graph Pre-training and Prompt Tuning across Homophily and Heterophily
by: Luo, Haitong, et al.
Published: (2025)
by: Luo, Haitong, et al.
Published: (2025)
Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)
by: Hu, Junfeng, et al.
Published: (2024)
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
by: Li, Shouheng, et al.
Published: (2022)
by: Li, Shouheng, et al.
Published: (2022)
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
by: Hettige, Kethmi Hirushini, et al.
Published: (2024)
by: Hettige, Kethmi Hirushini, et al.
Published: (2024)
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering
by: Wen, Zichen, et al.
Published: (2024)
by: Wen, Zichen, et al.
Published: (2024)
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
by: Lee, Soo Yong, et al.
Published: (2024)
by: Lee, Soo Yong, et al.
Published: (2024)
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs
by: Li, Duanyu, et al.
Published: (2024)
by: Li, Duanyu, et al.
Published: (2024)
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective
by: Yu, Wentao
Published: (2025)
by: Yu, Wentao
Published: (2025)
Similar Items
-
Union Subgraph Neural Networks
by: Xu, Jiaxing, et al.
Published: (2023) -
NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing
by: Li, Wei, et al.
Published: (2025) -
A Class-Aware Representation Refinement Framework for Graph Classification
by: Xu, Jiaxing, et al.
Published: (2022) -
Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023) -
Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion
by: Xu, Jiaxing, et al.
Published: (2024)