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. 2310.01634
  4. Cited By
Deep Insights into Noisy Pseudo Labeling on Graph Data

Deep Insights into Noisy Pseudo Labeling on Graph Data

2 October 2023
Botao Wang
Jia Li
Yang Liu
Jiashun Cheng
Yu Rong
Wenjia Wang
Fugee Tsung
    NoLa
ArXivPDFHTML

Papers citing "Deep Insights into Noisy Pseudo Labeling on Graph Data"

13 / 13 papers shown
Title
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Adapt, Agree, Aggregate: Semi-Supervised Ensemble Labeling for Graph Convolutional Networks
Maryam Abdolali
Romina Zakerian
Behnam Roshanfekr
Fardin Ayar
Mohammad Rahmati
48
0
0
22 Mar 2025
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for
  Efficient and Accurate Inference
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference
Yunhui Liu
Xinyi Gao
Tieke He
Jianhua Zhao
Hongzhi Yin
66
1
0
21 Nov 2024
Heterophilic Graph Neural Networks Optimization with Causal
  Message-passing
Heterophilic Graph Neural Networks Optimization with Causal Message-passing
Botao Wang
Jia Li
Heng Chang
K. Zhang
Fugee Tsung
70
2
0
21 Nov 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training
BANGS: Game-Theoretic Node Selection for Graph Self-Training
Fangxin Wang
Kay Liu
Sourav Medya
Philip S. Yu
SSL
26
1
0
12 Oct 2024
Semi-Supervised Object Detection: A Survey on Progress from CNN to
  Transformer
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
Tahira Shehzadi
Ifza
Didier Stricker
Muhammad Zeshan Afzal
ViT
38
0
0
11 Jul 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Wenzhuo Tang
Haitao Mao
Danial Dervovic
Ivan Brugere
Saumitra Mishra
Yuying Xie
Jiliang Tang
48
3
0
04 Jun 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
46
8
0
11 Mar 2024
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Haihong Zhao
Chenyi Zi
Yang Liu
Chen Zhang
Yan Zhou
Jia Li
36
7
0
06 Feb 2024
Confidence May Cheat: Self-Training on Graph Neural Networks under
  Distribution Shift
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Hongrui Liu
Binbin Hu
Xiao Wang
Chuan Shi
Zhiqiang Zhang
Jun Zhou
92
54
0
27 Jan 2022
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence
  Calibration
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang
Hongrui Liu
Chuan Shi
Cheng Yang
UQCV
95
113
0
29 Sep 2021
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
204
308
0
19 Oct 2020
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
242
269
0
30 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
221
789
0
26 Aug 2019
1