Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets

15 November 2016

Papers citing "Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets"

10 / 10 papers shown

Title
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions Xiao Yang Gaolei Li Jianhua Li AAML AI4CE 56 1 0 08 Jan 2025
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 40 1 0 05 Jun 2024
Leveraging universality of jet taggers through transfer learning F. Dreyer Radoslaw Grabarczyk P. Monni 15 17 0 11 Mar 2022
Investigating Transfer Learning in Graph Neural Networks Nishai Kooverjee Steven D. James Terence L van Zyl GNN 38 15 0 01 Feb 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 47 19 0 16 Jan 2022
A Review of Graph Neural Networks and Their Applications in Power Systems Wenlong Liao B. Bak‐Jensen J. Pillai Yuelong Wang Yusen Wang GNN AI4CE 35 212 0 25 Jan 2021
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Ning Ma Jiajun Bu Jieyu Yang Zhen Zhang Chengwei Yao Zhi Yu Sheng Zhou Xifeng Yan 31 5 0 18 Mar 2020
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 29 85 0 04 Sep 2019
Cross-domain Network Representations Shan Xue Jie Lu Guangquan Zhang 26 16 0 01 Aug 2019
Graph Attribute Aggregation Network with Progressive Margin Folding Penghui Sun J. Qu Xiaoqing Lyu Haibin Ling Zhi Tang GNN 14 3 0 14 May 2019