3 code implementations • NeurIPS 2021 • Derek Lim, Felix Hohne, Xiuyu Li, Sijia Linda Huang, Vaishnavi Gupta, Omkar Bhalerao, Ser-Nam Lim
Many widely used datasets for graph machine learning tasks have generally been homophilous, where nodes with similar labels connect to each other.
Ranked #2 on Node Classification on wiki
Graph Learning Node Classification on Non-Homophilic (Heterophilic) Graphs
1 code implementation • 3 Apr 2021 • Derek Lim, Xiuyu Li, Felix Hohne, Ser-Nam Lim
Much data with graph structures satisfy the principle of homophily, meaning that connected nodes tend to be similar with respect to a specific attribute.
Ranked #4 on Node Classification on Yelp-Fraud