ML Research Wiki / Benchmarks / Node Classification / Penn94

Penn94

Node Classification Benchmark

Performance Over Time

📊 Showing 31 results | 📏 Metric: Accuracy

Top Performing Models

Rank	Model	Paper	Date	Code
1	ACM-GCN++	Revisiting Heterophily For Graph Neural Networks	2022-10-14	📦 SitaoLuan/ACM-GNN
2	ACMII-GCN++	Revisiting Heterophily For Graph Neural Networks	2022-10-14	📦 SitaoLuan/ACM-GNN
3	GloGNN++	Finding Global Homophily in Graph Neural Networks When Meeting Heterophily	2022-05-15	📦 recklessronan/glognn
4	GloGNN	Finding Global Homophily in Graph Neural Networks When Meeting Heterophily	2022-05-15	📦 recklessronan/glognn
5	GNNMoE(GCN-like P)	Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification	2024-12-11	📦 GISec-Team/GNNMoE
6	ACM-GCN+	Revisiting Heterophily For Graph Neural Networks	2022-10-14	📦 SitaoLuan/ACM-GNN
7	ACMII-GCN+	Revisiting Heterophily For Graph Neural Networks	2022-10-14	📦 SitaoLuan/ACM-GNN
8	DJ-GNN	Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters	2023-06-29	📦 AhmedBegggaUA/TFM
9	NCGCN	Clarify Confused Nodes via Separated Learning	2023-06-04	📦 GISec-Team/NCGNN
10	LINKX	Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods	2021-10-27	📦 cuai/non-homophily-large-scale 📦 CUAI/Non-Homophily-Benchmarks 📦 ivam-he/chebnetii 📦 kkhuang81/UniFilter 📦 kkhuang81/AdaptKry

All Papers (31)

Revisiting Heterophily For Graph Neural Networks

2022

ACM-GCN++

SitaoLuan/ACM-GNN

Revisiting Heterophily For Graph Neural Networks

2022

ACMII-GCN++

SitaoLuan/ACM-GNN

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

2022

GloGNN++

recklessronan/glognn

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

2022

GloGNN

recklessronan/glognn

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

2024

GNNMoE(GCN-like P)

GISec-Team/GNNMoE

Revisiting Heterophily For Graph Neural Networks

2022

ACM-GCN+

SitaoLuan/ACM-GNN

Revisiting Heterophily For Graph Neural Networks

2022

ACMII-GCN+

SitaoLuan/ACM-GNN

Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters

2023

DJ-GNN

AhmedBegggaUA/TFM

Clarify Confused Nodes via Separated Learning

2023

NCGCN

GISec-Team/NCGNN

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

2021

LINKX

cuai/non-homophily-large-scale CUAI/Non-Homophily-Benchmarks

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

2024

GNNMoE(SAGE-like P)

GISec-Team/GNNMoE

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

2019

MixHop

dmlc/dgl benedekrozemberczki/MixHop-and-N-GCN samihaija/mixhop

Simple and Deep Graph Convolutional Networks

2020

GCNII

chennnM/GCNII chennnM/GCNII

Semi-Supervised Classification with Graph Convolutional Networks

2016

GCN

dmlc/dgl dmlc/dgl

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

2024

GNNMoE(GAT-like P)

GISec-Team/GNNMoE

Clarify Confused Nodes via Separated Learning

2023

NCSAGE

GISec-Team/NCGNN

New Benchmarks for Learning on Non-Homophilous Graphs

2021

GCNJK

CUAI/Non-Homophily-Benchmarks

Graph Attention Networks

2017

GAT

labmlai/annotated_deep_learning_paper_implementations dmlc/dgl

Adaptive Universal Generalized PageRank Graph Neural Network

2020

GPRGCN

jianhao2016/GPRGNN

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

2020

H2GCN

GemsLab/H2GCN GitEventhandler/H2GCN-PyTorch

New Benchmarks for Learning on Non-Homophilous Graphs

2021

LINK

CUAI/Non-Homophily-Benchmarks

New Benchmarks for Learning on Non-Homophilous Graphs

2021

GATJK

CUAI/Non-Homophily-Benchmarks

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

2020

C&S 2-hop

dmlc/dgl sangyx/gtrick

Simplifying Graph Convolutional Networks

2019

SGC 2-hop

dmlc/dgl dmlc/dgl

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

2018

APPNP

dmlc/dgl dmlc/dgl

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

2021

WRGAT

susheels/gnns-and-local-assortativity

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

2020

C&S 1-hop

dmlc/dgl sangyx/gtrick

New Benchmarks for Learning on Non-Homophilous Graphs

2021

L Prop 2-hop

CUAI/Non-Homophily-Benchmarks

New Benchmarks for Learning on Non-Homophilous Graphs

2021

MLP

CUAI/Non-Homophily-Benchmarks

Simplifying Graph Convolutional Networks

2019

SGC 1-hop

dmlc/dgl dmlc/dgl

New Benchmarks for Learning on Non-Homophilous Graphs

2021

L Prop 1-hop

CUAI/Non-Homophily-Benchmarks

Penn94

Performance Over Time

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Top Performing Models

All Papers (31)

Revisiting Heterophily For Graph Neural Networks

Revisiting Heterophily For Graph Neural Networks

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

Revisiting Heterophily For Graph Neural Networks

Revisiting Heterophily For Graph Neural Networks

Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters

Clarify Confused Nodes via Separated Learning

Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

Simple and Deep Graph Convolutional Networks

Semi-Supervised Classification with Graph Convolutional Networks

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification

Clarify Confused Nodes via Separated Learning

New Benchmarks for Learning on Non-Homophilous Graphs

Graph Attention Networks

Adaptive Universal Generalized PageRank Graph Neural Network

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

New Benchmarks for Learning on Non-Homophilous Graphs

New Benchmarks for Learning on Non-Homophilous Graphs

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

Simplifying Graph Convolutional Networks

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns

Combining Label Propagation and Simple Models Out-performs Graph Neural Networks

New Benchmarks for Learning on Non-Homophilous Graphs

New Benchmarks for Learning on Non-Homophilous Graphs

Simplifying Graph Convolutional Networks

New Benchmarks for Learning on Non-Homophilous Graphs

Model	Paper	Date
ACM-GCN++	Revisiting Heterophily For Graph Neural Networks	2022-10-14
ACMII-GCN++	Revisiting Heterophily For Graph Neural Networks	2022-10-14
GloGNN++	Finding Global Homophily in Graph Neural Networks…	2022-05-15
GloGNN	Finding Global Homophily in Graph Neural Networks…	2022-05-15
GNNMoE(GCN-like P)	Mixture of Experts Meets Decoupled Message Passin…	2024-12-11
ACM-GCN+	Revisiting Heterophily For Graph Neural Networks	2022-10-14
ACMII-GCN+	Revisiting Heterophily For Graph Neural Networks	2022-10-14
DJ-GNN	Diffusion-Jump GNNs: Homophiliation via Learnable…	2023-06-29
NCGCN	Clarify Confused Nodes via Separated Learning	2023-06-04
LINKX	Large Scale Learning on Non-Homophilous Graphs: N…	2021-10-27
GNNMoE(SAGE-like P)	Mixture of Experts Meets Decoupled Message Passin…	2024-12-11
MixHop	MixHop: Higher-Order Graph Convolutional Architec…	2019-04-30
GCNII	Simple and Deep Graph Convolutional Networks	2020-07-04
GCN	Semi-Supervised Classification with Graph Convolu…	2016-09-09
GNNMoE(GAT-like P)	Mixture of Experts Meets Decoupled Message Passin…	2024-12-11
NCSAGE	Clarify Confused Nodes via Separated Learning	2023-06-04
GCNJK	New Benchmarks for Learning on Non-Homophilous Gr…	2021-04-03
GAT	Graph Attention Networks	2017-10-30
GPRGCN	Adaptive Universal Generalized PageRank Graph Neu…	2020-06-14
H2GCN	Beyond Homophily in Graph Neural Networks: Curren…	2020-06-20
LINK	New Benchmarks for Learning on Non-Homophilous Gr…	2021-04-03
GATJK	New Benchmarks for Learning on Non-Homophilous Gr…	2021-04-03
C&S 2-hop	Combining Label Propagation and Simple Models Out…	2020-10-27
SGC 2-hop	Simplifying Graph Convolutional Networks	2019-02-19
APPNP	Predict then Propagate: Graph Neural Networks mee…	2018-10-14
WRGAT	Breaking the Limit of Graph Neural Networks by Im…	2021-06-11
C&S 1-hop	Combining Label Propagation and Simple Models Out…	2020-10-27
L Prop 2-hop	New Benchmarks for Learning on Non-Homophilous Gr…	2021-04-03
MLP	New Benchmarks for Learning on Non-Homophilous Gr…	2021-04-03
SGC 1-hop	Simplifying Graph Convolutional Networks	2019-02-19
L Prop 1-hop	New Benchmarks for Learning on Non-Homophilous Gr…	2021-04-03