Simplifying approach to Node Classification in Graph Neural Networks

12 November 2021

Papers citing "Simplifying approach to Node Classification in Graph Neural Networks"

7 / 7 papers shown

Title
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin Abubakar Isah I. Aliyu Sulaiman Muhammad Rashid Jaehyung Park Minsoo Hahn Jinsul Kim 14 0 0 17 Feb 2025
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 36 0 0 26 Jul 2024
DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise Tai Hasegawa Sukwon Yun Xin Liu Yin Jun Phua Tsuyoshi Murata 21 0 0 14 Apr 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 62 1 0 19 Mar 2024
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 87 554 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,072 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 833 0 28 Sep 2019