Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily
Fuente:
arXiv
Saved in:
| Main Authors: | Hevapathige, Asela, Wijesinghe, Asiri, Zehmakan, Ahad N. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Neural Diffusion via Generalized Opinion Dynamics
by: Hevapathige, Asela, et al.
Published: (2025)
by: Hevapathige, Asela, et al.
Published: (2025)
Depth-Adaptive Graph Neural Networks via Learnable Bakry-'Emery Curvature
by: Hevapathige, Asela, et al.
Published: (2025)
by: Hevapathige, Asela, et al.
Published: (2025)
Invariant-Stratified Propagation for Expressive Graph Neural Networks
by: Hevapathige, Asela, et al.
Published: (2026)
by: Hevapathige, Asela, et al.
Published: (2026)
DeepSN: A Sheaf Neural Framework for Influence Maximization
by: Hevapathige, Asela, et al.
Published: (2024)
by: Hevapathige, Asela, et al.
Published: (2024)
Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks
by: Hevapathige, Asela
Published: (2025)
by: Hevapathige, Asela
Published: (2025)
Permutation-Invariant Graph Partitioning:How Graph Neural Networks Capture Structural Interactions?
by: Hevapathige, Asela, et al.
Published: (2023)
by: Hevapathige, Asela, et al.
Published: (2023)
AxelSMOTE: An Agent-Based Oversampling Algorithm for Imbalanced Classification
by: Kishanthan, Sukumar, et al.
Published: (2025)
by: Kishanthan, Sukumar, et al.
Published: (2025)
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
by: Wijesinghe, Asiri, et al.
Published: (2025)
by: Wijesinghe, Asiri, et al.
Published: (2025)
Does Homophily Help in Robust Test-time Node Classification?
by: Jiang, Yan, et al.
Published: (2025)
by: Jiang, Yan, et al.
Published: (2025)
Flowette: Flow Matching with Graphette Priors for Graph Generation
by: Wijesinghe, Asiri, et al.
Published: (2026)
by: Wijesinghe, Asiri, et al.
Published: (2026)
Graph-based Fake Account Detection: A Survey
by: Dehkordi, Ali Safarpoor, et al.
Published: (2025)
by: Dehkordi, Ali Safarpoor, et al.
Published: (2025)
Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification
by: Kishanthan, Sukumar, et al.
Published: (2025)
by: Kishanthan, Sukumar, et al.
Published: (2025)
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
by: Sun, Henan, et al.
Published: (2023)
by: Sun, Henan, et al.
Published: (2023)
A Generalisation of Voter Model: Influential Nodes and Convergence Properties
by: Manohara, Abhiram, et al.
Published: (2024)
by: Manohara, Abhiram, et al.
Published: (2024)
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
Modeling Heterophily in Multiplex Graphs: An Adaptive Approach for Node Classification
by: Abdous, Kamel, et al.
Published: (2026)
by: Abdous, Kamel, et al.
Published: (2026)
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
by: Lu, Weigang, et al.
Published: (2024)
by: Lu, Weigang, et al.
Published: (2024)
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024)
by: Akansha, S.
Published: (2024)
Explaining Graph Neural Networks for Node Similarity on Graphs
by: Daza, Daniel, et al.
Published: (2024)
by: Daza, Daniel, et al.
Published: (2024)
Orthogonal Activation with Implicit Group-Aware Bias Learning for Class Imbalance
by: Kishanthan, Sukumar, et al.
Published: (2025)
by: Kishanthan, Sukumar, et al.
Published: (2025)
Graph Unlearning: Efficient Node Removal in Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2025)
by: Guan, Faqian, et al.
Published: (2025)
Pure Node Selection for Imbalanced Graph Node Classification
by: Zeng, Fanlong, et al.
Published: (2025)
by: Zeng, Fanlong, et al.
Published: (2025)
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptive Residual Module
by: Zhou, Jingbo, et al.
Published: (2023)
by: Zhou, Jingbo, et al.
Published: (2023)
On the Utilization of Unique Node Identifiers in Graph Neural Networks
by: Bechler-Speicher, Maya, et al.
Published: (2024)
by: Bechler-Speicher, Maya, et al.
Published: (2024)
Parallelizing Node-Level Explainability in Graph Neural Networks
by: Llorente, Oscar, et al.
Published: (2026)
by: Llorente, Oscar, et al.
Published: (2026)
GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
by: Sinha, Aarush
Published: (2025)
by: Sinha, Aarush
Published: (2025)
One Node Per User: Node-Level Federated Learning for Graph Neural Networks
by: Gao, Zhidong, et al.
Published: (2024)
by: Gao, Zhidong, et al.
Published: (2024)
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
by: Liu, Yezi, et al.
Published: (2024)
by: Liu, Yezi, et al.
Published: (2024)
PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
Rethinking Tokenized Graph Transformers for Node Classification
by: Chen, Jinsong, et al.
Published: (2025)
by: Chen, Jinsong, et al.
Published: (2025)
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)
by: Wang, Qian, et al.
Published: (2024)
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
by: Zhang, Yuelin, et al.
Published: (2025)
by: Zhang, Yuelin, et al.
Published: (2025)
Explainable Graph Neural Networks Under Fire
by: Li, Zhong, et al.
Published: (2024)
by: Li, Zhong, et al.
Published: (2024)
Bonsai: Gradient-free Graph Condensation for Node Classification
by: Gupta, Mridul, et al.
Published: (2024)
by: Gupta, Mridul, et al.
Published: (2024)
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
by: Zhao, Zhehan, et al.
Published: (2024)
by: Zhao, Zhehan, et al.
Published: (2024)
Beyond Parameter Finetuning: Test-Time Representation Refinement for Node Classification
by: Zhang, Jiaxin, et al.
Published: (2026)
by: Zhang, Jiaxin, 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)
by: Song, Hao, et al.
Published: (2024)
GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning
by: Zeng, Fanlong, et al.
Published: (2025)
by: Zeng, Fanlong, et al.
Published: (2025)
Weighted Graph Structure Learning with Attention Denoising for Node Classification
by: Wang, Tingting, et al.
Published: (2025)
by: Wang, Tingting, et al.
Published: (2025)
Causally Fair Node Classification on Non-IID Graph Data
by: Dai, Yucong, et al.
Published: (2025)
by: Dai, Yucong, et al.
Published: (2025)
Similar Items
-
Graph Neural Diffusion via Generalized Opinion Dynamics
by: Hevapathige, Asela, et al.
Published: (2025) -
Depth-Adaptive Graph Neural Networks via Learnable Bakry-'Emery Curvature
by: Hevapathige, Asela, et al.
Published: (2025) -
Invariant-Stratified Propagation for Expressive Graph Neural Networks
by: Hevapathige, Asela, et al.
Published: (2026) -
DeepSN: A Sheaf Neural Framework for Influence Maximization
by: Hevapathige, Asela, et al.
Published: (2024) -
Bridging Computational Social Science and Deep Learning: Cultural Dissemination-Inspired Graph Neural Networks
by: Hevapathige, Asela
Published: (2025)