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AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in
  GNNs
v1v2 (latest)

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs

AAAI Conference on Artificial Intelligence (AAAI), 2023
19 April 2023
Shengrui Li
Xueting Han
Jing Bai
    AI4CE
ArXiv (abs)PDFHTMLGithub (29★)

Papers citing "AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs"

11 / 11 papers shown
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
Bo Jiang
Weijun Zhao
Beibei Wang
Xiao Wang
Jin Tang
AAML
214
0
0
24 Nov 2025
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
Dian Jin
Yancheng Yuan
Xiaoming Tao
209
0
0
10 Nov 2025
Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
Naveen Raj Manoharan
Hassan Iqbal
Krishna Kumar
AI4CE
143
0
0
07 Nov 2025
Mitigating Distribution Shift in Graph-Based Android Malware Classification via Function Metadata and LLM Embeddings
Mitigating Distribution Shift in Graph-Based Android Malware Classification via Function Metadata and LLM Embeddings
Ngoc N. Tran
Anwar Said
W. Abbas
Tyler Derr
X. Koutsoukos
163
0
0
08 Aug 2025
PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease
PHGNN: A Novel Prompted Hypergraph Neural Network to Diagnose Alzheimer's Disease
Chenyu Liu
Luca Rossi
185
1
0
18 Mar 2025
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer LearningKnowledge Discovery and Data Mining (KDD), 2024
Zhe-Rui Yang
Jindong Han
Chang-Dong Wang
Hao Liu
OffRL
362
10
0
08 Jan 2025
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks
  with Dual Adapters
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual AdaptersInternational Conference on Learning Representations (ICLR), 2024
Yujie Mo
Runpeng Yu
Xiaofeng Zhu
Xinchao Wang
247
3
0
02 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
452
12
0
25 Oct 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationNeural Information Processing Systems (NeurIPS), 2024
Yao Ni
Shan Zhang
Piotr Koniusz
1.1K
14
0
25 Sep 2024
VIRL: Volume-Informed Representation Learning towards Few-shot
  Manufacturability Estimation
VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation
Yu-hsuan Chen
Jonathan Cagan
Levent Burak Kara
263
3
0
18 Jun 2024
A Unified Graph Selective Prompt Learning for Graph Neural Networks
A Unified Graph Selective Prompt Learning for Graph Neural Networks
Bo Jiang
Hao Wu
Ziyan Zhang
Beibei Wang
Jin Tang
167
2
0
15 Jun 2024
1
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