When Do Graph Neural Networks Help with Node Classification?
Investigating the Impact of Homophily Principle on Node Distinguishability

When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability

25 April 2023

Sitao Luan

Qincheng Lu

Jiaqi Zhu

Papers citing "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability"

5 / 5 papers shown

Title
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 20 0 0 02 May 2025
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 58 21 0 24 May 2022
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 84 445 0 04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 98 131 0 23 Jul 2018