glnn

Graph-less Neural Networks (GLNN)

• Paper link: https://arxiv.org/pdf/2110.08727
• Author's code repo: https://github.com/snap-research/graphless-neural-networks

Dataset Statics

Dataset	# Nodes	# Edges	# Classes
Cora	2,708	10,556	7
Citeseer	3,327	9,228	6
Pubmed	19,717	88,651	3
Computers	13,752	491,722	10
Photo	7,650	238,162	8

Refer to Planetoid, Amazon.

Results

• Available dataset: "cora", "citeseer", "pubmed", "computers", "photo"
• Available teacher: "SAGE", "GCN", "GAT", "APPNP", "MLP"

TL_BACKEND="tensorflow" python train_teacher.py --dataset cora --teacher SAGE
TL_BACKEND="tensorflow" python train_student.py --dataset cora --teacher SAGE
TL_BACKEND="torch" python train_teacher.py --dataset cora --teacher SAGE
TL_BACKEND="torch" python train_student.py --dataset cora --teacher SAGE
TL_BACKEND="paddle" python train_teacher.py --dataset cora --teacher SAGE
TL_BACKEND="paddle" python train_student.py --dataset cora --teacher SAGE
TL_BACKEND="mindspore" python train_teacher.py --dataset cora --teacher SAGE
TL_BACKEND="mindspore" python train_student.py --dataset cora --teacher SAGE

Dataset	Paper	Our(tf)	Our(th)	Our(pd)	Our(ms)
Cora	80.54±1.35	80.94±0.31	80.84±0.30	80.90±0.21	81.04±0.30
Citeseer	71.77±2.01	70.74±0.87	71.34±0.55	71.18±1.20	70.58±1.14
Pubmed	75.42±2.31	77.90±0.07	77.88±0.23	77.78±0.19	77.78±0.13
Computers	83.03±1.87	83.45±0.61	82.78±0.47	83.03±0.14	83.40±0.45
Photo	92.11±1.08	91.93±0.16	91.91±0.24	91.89±0.27	91.88±0.21

• The model performance is the average of 5 tests