Pre-Training Graph Neural Networks for Generic Structural Feature
Extraction

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction

31 May 2019

Papers citing "Pre-Training Graph Neural Networks for Generic Structural Feature Extraction"

11 / 11 papers shown

Title
Edge Prompt Tuning for Graph Neural Networks Xingbo Fu Yinhan He Jundong Li 52 1 0 02 Mar 2025
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 36 14 0 02 Nov 2023
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 219 0 16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
Graph Representation Learning via Aggregation Enhancement Maxim Fishman Chaim Baskin Evgenii Zheltonozhskii Almog David Ron Banner A. Mendelson 24 0 0 30 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 18 31 0 20 Jan 2022
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 26 33 0 25 Feb 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 42 117 0 11 Sep 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018