ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.05204
  4. Cited By
Transfer Learning of Graph Neural Networks with Ego-graph Information
  Maximization

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization

11 September 2020
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
ArXivPDFHTML

Papers citing "Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization"

13 / 13 papers shown
Title
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
37
2
0
28 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
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 R. Li
Jundong Li
Kaize Ding
OOD
45
2
0
25 Oct 2024
Transfer Learning for Latent Variable Network Models
Transfer Learning for Latent Variable Network Models
Akhil Jalan
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
36
1
0
05 Jun 2024
FedEgo: Privacy-preserving Personalized Federated Graph Learning with
  Ego-graphs
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
Taolin Zhang
Chuan Chen
Yaomin Chang
Lin Shu
Zibin Zheng
FedML
15
14
0
29 Aug 2022
MentorGNN: Deriving Curriculum for Pre-Training GNNs
MentorGNN: Deriving Curriculum for Pre-Training GNNs
Dawei Zhou
Lecheng Zheng
Dongqi Fu
Jiawei Han
Jingrui He
22
22
0
21 Aug 2022
Features Based Adaptive Augmentation for Graph Contrastive Learning
Features Based Adaptive Augmentation for Graph Contrastive Learning
Adnan Ali
Jinlong Li
OOD
16
7
0
05 Jul 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
Mingyue Tang
Carl Yang
Pan Li
GNN
AI4CE
41
55
0
18 Feb 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach
Xing Ai
Zhihong Zhang
Luzhe Sun
Junchi Yan
Edwin R. Hancock
GNN
23
11
0
13 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks
Model Stealing Attacks Against Inductive Graph Neural Networks
Yun Shen
Xinlei He
Yufei Han
Yang Zhang
14
60
0
15 Dec 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph
  Training Data
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data
Qi Zhu
Natalia Ponomareva
Jiawei Han
Bryan Perozzi
OOD
8
104
0
02 Aug 2021
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge
  Integration
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration
Xuan Kan
Hejie Cui
Carl Yang
58
39
0
11 Jul 2021
Subgraph Federated Learning with Missing Neighbor Generation
Subgraph Federated Learning with Missing Neighbor Generation
Ke Zhang
Carl Yang
Xiaoxiao Li
Lichao Sun
S. Yiu
FedML
8
162
0
25 Jun 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
1