Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering

6 June 2022

Papers citing "Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering"

6 / 6 papers shown

Title
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 95 1 0 29 Apr 2025
GraphEdit: Large Language Models for Graph Structure Learning Zirui Guo Lianghao Xia Yanhua Yu Yuling Wang Zixuan Yang Zhiyong Huang Chao Huang 39 18 0 23 Feb 2024
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 56 3 0 04 Jun 2023
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