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. 2105.09384
  4. Cited By
Graph Sanitation with Application to Node Classification

Graph Sanitation with Application to Node Classification

19 May 2021
Zhe Xu
Boxin Du
Hanghang Tong
ArXivPDFHTML

Papers citing "Graph Sanitation with Application to Node Classification"

10 / 10 papers shown
Title
Knowledge Graph Pruning for Recommendation
Knowledge Graph Pruning for Recommendation
Fake Lin
Xi Zhu
Ziwei Zhao
Deqiang Huang
Yu Yu
Xueying Li
Zhi Zheng
Tong Xu
Enhong Chen
29
0
0
19 May 2024
Discrete-state Continuous-time Diffusion for Graph Generation
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
46
10
0
19 May 2024
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
SGA: A Graph Augmentation Method for Signed Graph Neural Networks
Zeyu Zhang
Shuyan Wan
Sijie Wang
Xianda Zheng
Xinrui Zhang
Kaiqi Zhao
Jiamou Liu
Dong Hao
16
1
0
15 Oct 2023
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node
  Classification
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
Yulin Zhu
Liang Tong
Gaolei Li
Xiapu Luo
Kai Zhou
33
4
0
25 Oct 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
Data Augmentation for Deep Graph Learning: A Survey
Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OOD
GNN
27
219
0
16 Feb 2022
HDMI: High-order Deep Multiplex Infomax
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing
Chanyoung Park
Hanghang Tong
98
164
0
15 Feb 2021
Grale: Designing Networks for Graph Learning
Grale: Designing Networks for Graph Learning
Jonathan J. Halcrow
A. Mosoi
Sam Ruth
Bryan Perozzi
GNN
65
47
0
23 Jul 2020
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
371
11,700
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
133
409
0
06 Mar 2017
1