ProG: A Graph Prompt Learning Benchmark

ProG: A Graph Prompt Learning Benchmark

8 June 2024

Hong Cheng

Papers citing "ProG: A Graph Prompt Learning Benchmark"

8 / 8 papers shown

Title
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 53 0 0 13 Mar 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Yixuan Wang Xinnan Dai Wenqi Fan Yao Ma 76 1 0 26 Feb 2025
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 36 1 0 10 Nov 2024
Reliable and Compact Graph Fine-tuning via GraphSparse Prompting Bo Jiang Hao Wu Beibei Wang Jin Tang B. Luo 28 0 0 29 Oct 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs Kai Wang Siqiang Luo Caihua Shan Yifei Shen 32 0 0 16 Oct 2024
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis Qunzhong Wang Xiangguo Sun Hong Cheng 29 3 0 02 Oct 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li Peisong Wang Xiao Zhu Aochuan Chen Haiyun Jiang Deng Cai Victor Wai Kin Chan Jia Li 53 12 0 10 Jul 2024
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020