GraFN: Semi-Supervised Node Classification on Graph with Few Labels via
Non-Parametric Distribution Assignment

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GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment

4 April 2022

Yeonjun In

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Papers citing "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment"

7 / 7 papers shown

Title
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering Preslav Nakov Tairan Wang Taicheng Guo Kehan Guo Juexiao Zhou Haoyang Li Mingchen Zhuge Jürgen Schmidhuber Xin Gao Xiangliang Zhang 95 3 0 24 Jul 2024
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 102 37 0 08 Oct 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 52 2 0 07 Jun 2023
Task-Equivariant Graph Few-shot Learning Sungwon Kim Junseok Lee Namkyeong Lee Wonjoon Kim Seung-Deok Choi Chanyoung Park 91 6 0 30 May 2023
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis Sein Kim Namkyeong Lee Junseok Lee Dongmin Hyun Chanyoung Park 97 29 0 28 Nov 2022
Relational Self-Supervised Learning on Graphs Namkyeong Lee Dongmin Hyun Junseok Lee Chanyoung Park SSL 64 24 0 21 Aug 2022
Graph Fairing Convolutional Networks for Anomaly Detection Mahsa Mesgaran A. Ben Hamza 69 24 0 20 Oct 2020

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