G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks

17 May 2023

Papers citing "G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks"

8 / 8 papers shown

Title
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning Toyotaro Suzumura H. Kanezashi Shotaro Akahori AI4MH 74 0 0 25 Nov 2024
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 50 2 0 25 Oct 2024
Aggregate, Decompose, and Fine-Tune: A Simple Yet Effective Factor-Tuning Method for Vision Transformer Dongping Chen 33 3 0 12 Nov 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 73 80 0 02 Mar 2023
Towards a Unified View on Visual Parameter-Efficient Transfer Learning Bruce X. B. Yu Jianlong Chang Lin Liu Qi Tian Changan Chen VPVLM VLM 68 34 0 03 Oct 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 137 277 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 181 1,778 0 02 Mar 2017