RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning

20 January 2025

Papers citing "RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning"

9 / 9 papers shown

Title
A Survey of Cross-domain Graph Learning: Progress and Future Directions Haihong Zhao Chenyi Zi Aochuan Chen Jia Li 67 0 0 14 Mar 2025
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis Qunzhong Wang Xiangguo Sun Hong Cheng 16 2 0 02 Oct 2024
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization Hantao Yao Rui Zhang Changsheng Xu VLM VPVLM 122 193 0 23 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability Dibya Ghosh Jad Rahme Aviral Kumar Amy Zhang Ryan P. Adams Sergey Levine OffRL 264 107 0 13 Jul 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu Yiding Yang Xinchao Wang 148 90 0 10 Dec 2020
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 96 113 0 21 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 125 112 0 17 Oct 2020