Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs

18 February 2020

Papers citing "Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs"

15 / 15 papers shown

Title
UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification Mohammad T. Teimuri Zahra Dehghanian Gholamali Aminian Hamid R. Rabiee 47 0 0 02 Feb 2025
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 48 8 0 11 Mar 2024
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks Dai Shi Andi Han Lequan Lin Yi Guo Zhiyong Wang Junbin Gao 21 8 0 26 Jan 2024
NP $^2$ L: Negative Pseudo Partial Labels Extraction for Graph Neural Networks Xinjie Shen Danyang Wu Jitao Lu Junjie Liang Jin Xu Feiping Nie 28 0 0 02 Oct 2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph Chenguang Du Kaichun Yao Hengshu Zhu Deqing Wang Fuzhen Zhuang Hui Xiong 26 6 0 18 May 2023
Simple and Efficient Heterogeneous Graph Neural Network Xiaocheng Yang Mingyu Yan Shirui Pan Xiaochun Ye Dongrui Fan 56 123 0 06 Jul 2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Le Yu Leilei Sun Bowen Du T. Zhu Weifeng Lv 30 14 0 31 May 2022
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks S. Shi Jian Chen Kai Qiao Shuai Yang Linyuan Wang B. Yan GNN 12 1 0 08 May 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability Yongqiang Chen Han Yang Yonggang Zhang Kaili Ma Tongliang Liu Bo Han James Cheng AAML 19 81 0 16 Feb 2022
A Framework for Learning Ante-hoc Explainable Models via Concepts Anirban Sarkar Deepak Vijaykeerthy Anindya Sarkar V. Balasubramanian LRM BDL 12 46 0 25 Aug 2021
When Contrastive Learning Meets Active Learning: A Novel Graph Active Learning Paradigm with Self-Supervision Yanqiao Zhu Weizhi Xu Qiang Liu Shu Wu 8 0 0 30 Oct 2020
Predicting What You Already Know Helps: Provable Self-Supervised Learning J. Lee Qi Lei Nikunj Saunshi Jiacheng Zhuo SSL 8 186 0 03 Aug 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016