Node Property Prediction on ogbn-products

Metric: Number of params (higher is better)

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#	Model↕	Number of params▼	Extra Data	Paper	Date↕	Code
1	Node2vec	313612207	No	node2vec: Scalable Feature Learning for Networks	2016-07-03	Code
2	LD+GAMLP	144331677	No	Label Deconvolution for Node Representation Lear...	2023-09-26	Code
3	GLEM+GIANT+SAGN+SCR	139792525	No	Learning on Large-scale Text-attributed Graphs v...	2022-10-26	Code
4	GLEM+EnGCN	139633805	No	Learning on Large-scale Text-attributed Graphs v...	2022-10-26	Code
5	GraphZoom (Node2vec)	120251183	No	-	-	-
6	LD+GIANT+SAGN+SCR	110636896	No	Label Deconvolution for Node Representation Lear...	2023-09-26	Code
7	E2EG (use raw text)	66793520	No	E2EG: End-to-End Node Classification Using Graph...	2022-08-09	Code
8	SIGN	3483703	No	SIGN: Scalable Inception Graph Neural Networks	2020-04-23	Code
9	GAMLP+RLU+SCR+C&S	3335831	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
10	GAMLP+RLU+SCR	3335831	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
11	GAMLP+MCR	3335831	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
12	GAMLP+RLU	3335831	No	-	-	-
13	GAMLP	3335831	No	-	-	-
14	RevGNN-112	2945007	No	Training Graph Neural Networks with 1000 Layers	2021-06-14	Code
15	Polynormer	2383654	No	Polynormer: Polynomial-Expressive Graph Transfor...	2024-03-02	Code
16	SAGN	2233391	No	Scalable and Adaptive Graph Neural Networks with...	2021-04-19	Code
17	SAGN+SLE (4 stages)+C&S	2179678	No	Scalable and Adaptive Graph Neural Networks with...	2021-04-19	Code
18	SAGN+SLE (4 stages)	2179678	No	Scalable and Adaptive Graph Neural Networks with...	2021-04-19	Code
19	SAGN+MCR	2179678	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
20	SAGN+SLE	2179678	No	Scalable and Adaptive Graph Neural Networks with...	2021-04-19	Code
21	GIANT-XRT+GAMLP+MCR	2144151	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
22	GIANT-XRT+SAGN+SLE+C&S (use raw text)	1548382	No	Node Feature Extraction by Self-Supervised Multi...	2021-10-29	Code
23	GIANT-XRT+SAGN+SLE (use raw text)	1548382	No	Node Feature Extraction by Self-Supervised Multi...	2021-10-29	Code
24	AGDN	1544047	No	Adaptive Graph Diffusion Networks	2020-12-30	Code
25	Cluster-GAT	1540848	No	Cluster-GCN: An Efficient Algorithm for Training...	2019-05-20	Code
26	UniMP	1475605	No	Masked Label Prediction: Unified Message Passing...	2020-09-08	Code
27	GraDBERT+GIANT & SAGN+SLE+CnS	1154654	No	-	-	-
28	GIANT-XRT+SAGN+SCR+C&S	1154654	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
29	GIANT-XRT+SAGN+MCR+C&S	1154654	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
30	GIANT-XRT+SAGN+SCR	1154654	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
31	GIANT-XRT+SAGN+MCR	1154654	No	SCR: Training Graph Neural Networks with Consist...	2021-12-08	Code
32	GIANT-XRT+R-SAGN+SCR+C&S	1154142	No	-	-	-
33	GAT w/NS + C&S	753622	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
34	GAT+FLAG	751574	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
35	GAT with NeighborSampling	751574	No	Graph Attention Networks	2017-10-30	Code
36	EnGCN	653918	No	A Comprehensive Study on Large-Scale Graph Train...	2022-10-14	Code
37	ClusterGCN+residual+3 layers	456034	No	Cluster-GCN: An Efficient Algorithm for Training...	2019-05-20	Code
38	GraphSAGE	433047	No	Classic GNNs are Strong Baselines: Reassessing G...	2024-06-13	Code
39	GIANT-XRT+GraphSAINT(use raw text)	417583	No	Node Feature Extraction by Self-Supervised Multi...	2021-10-29	Code
40	Spec-MLP-Wide + C&S	406063	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
41	GraphSAINT-inductive	331661	No	GraphSAINT: Graph Sampling Based Inductive Learn...	2019-07-10	Code
42	GIANT-XRT+MLP (use raw text)	275759	No	Node Feature Extraction by Self-Supervised Multi...	2021-10-29	Code
43	DeeperGCN+FLAG	253743	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
44	DeeperGCN	253743	No	DeeperGCN: All You Need to Train Deeper GCNs	2020-06-13	Code
45	GCN	233047	No	Classic GNNs are Strong Baselines: Reassessing G...	2024-06-13	Code
46	GraphSAGE w/NS + C&S	207919	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
47	GraphSAGE+FLAG	206895	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
48	GraphSAINT (SAGE aggr)	206895	No	GraphSAINT: Graph Sampling Based Inductive Learn...	2019-07-10	Code
49	ClusterGCN (SAGE aggr)	206895	No	Cluster-GCN: An Efficient Algorithm for Training...	2019-05-20	Code
50	NeighborSampling (SAGE aggr)	206895	No	Inductive Representation Learning on Large Graphs	2017-06-07	Code
51	Full-batch GraphSAGE	206895	No	Inductive Representation Learning on Large Graphs	2017-06-07	Code
52	CoLinkDistMLP	115806	No	Distilling Self-Knowledge From Contrastive Links...	2021-06-16	Code
53	GraphSAGE + C&S + node2vec	103983	No	Inductive Representation Learning on Large Graphs	2017-06-07	Code
54	Full-batch GCN	103727	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
55	MLP+FLAG	103727	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
56	MLP	103727	No	Open Graph Benchmark: Datasets for Machine Learn...	2020-05-02	Code
57	MLP + C&S	96247	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
58	TCNN	22624	No	-	-	-
59	Linear + C&S	10763	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
60	Plain Linear + C&S	4747	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
61	PCAPass + XGBoost	0	No	-	-	Code
62	Label Propagation	0	No	-	-	-

#1Node2vecSOTA
313612207
Number of params· 2016-07-03
node2vec: Scalable Feature Learning for Networks Code
#2LD+GAMLP
144331677
Number of params· 2023-09-26
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Code
#3GLEM+GIANT+SAGN+SCR
139792525
Number of params· 2022-10-26
Learning on Large-scale Text-attributed Graphs via Variational Inference Code
#4GLEM+EnGCN
139633805
Number of params· 2022-10-26
Learning on Large-scale Text-attributed Graphs via Variational Inference Code
#5GraphZoom (Node2vec)
120251183
Number of params
No paper
#6LD+GIANT+SAGN+SCR
110636896
Number of params· 2023-09-26
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Code
#7E2EG (use raw text)
66793520
Number of params· 2022-08-09
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes Code
#8SIGN
3483703
Number of params· 2020-04-23
SIGN: Scalable Inception Graph Neural Networks Code
#9GAMLP+RLU+SCR+C&S
3335831
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#10GAMLP+RLU+SCR
3335831
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#11GAMLP+MCR
3335831
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#12GAMLP+RLU
3335831
Number of params
No paper
#13GAMLP
3335831
Number of params
No paper
#14RevGNN-112
2945007
Number of params· 2021-06-14
Training Graph Neural Networks with 1000 Layers Code
#15Polynormer
2383654
Number of params· 2024-03-02
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Code
#16SAGN
2233391
Number of params· 2021-04-19
Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training Code
#17SAGN+SLE (4 stages)+C&S
2179678
Number of params· 2021-04-19
Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training Code
#18SAGN+SLE (4 stages)
2179678
Number of params· 2021-04-19
Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training Code
#19SAGN+MCR
2179678
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#20SAGN+SLE
2179678
Number of params· 2021-04-19
Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training Code
#21GIANT-XRT+GAMLP+MCR
2144151
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#22GIANT-XRT+SAGN+SLE+C&S (use raw text)
1548382
Number of params· 2021-10-29
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Code
#23GIANT-XRT+SAGN+SLE (use raw text)
1548382
Number of params· 2021-10-29
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Code
#24AGDN
1544047
Number of params· 2020-12-30
Adaptive Graph Diffusion Networks Code
#25Cluster-GAT
1540848
Number of params· 2019-05-20
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Code
#26UniMP
1475605
Number of params· 2020-09-08
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Code
#27**GraDBERT+GIANT & SAGN+SLE+CnS **
1154654
Number of params
No paper
#28GIANT-XRT+SAGN+SCR+C&S
1154654
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#29GIANT-XRT+SAGN+MCR+C&S
1154654
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#30GIANT-XRT+SAGN+SCR
1154654
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#31GIANT-XRT+SAGN+MCR
1154654
Number of params· 2021-12-08
SCR: Training Graph Neural Networks with Consistency Regularization Code
#32GIANT-XRT+R-SAGN+SCR+C&S
1154142
Number of params
No paper
#33GAT w/NS + C&S
753622
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#34GAT+FLAG
751574
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#35GAT with NeighborSampling
751574
Number of params· 2017-10-30
Graph Attention Networks Code
#36EnGCN
653918
Number of params· 2022-10-14
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Code
#37ClusterGCN+residual+3 layers
456034
Number of params· 2019-05-20
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Code
#38GraphSAGE
433047
Number of params· 2024-06-13
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Code
#39GIANT-XRT+GraphSAINT(use raw text)
417583
Number of params· 2021-10-29
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Code
#40Spec-MLP-Wide + C&S
406063
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#41GraphSAINT-inductive
331661
Number of params· 2019-07-10
GraphSAINT: Graph Sampling Based Inductive Learning Method Code
#42GIANT-XRT+MLP (use raw text)
275759
Number of params· 2021-10-29
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Code
#43DeeperGCN+FLAG
253743
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#44DeeperGCN
253743
Number of params· 2020-06-13
DeeperGCN: All You Need to Train Deeper GCNs Code
#45GCN
233047
Number of params· 2024-06-13
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Code
#46GraphSAGE w/NS + C&S
207919
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#47GraphSAGE+FLAG
206895
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#48GraphSAINT (SAGE aggr)
206895
Number of params· 2019-07-10
GraphSAINT: Graph Sampling Based Inductive Learning Method Code
#49ClusterGCN (SAGE aggr)
206895
Number of params· 2019-05-20
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Code
#50NeighborSampling (SAGE aggr)
206895
Number of params· 2017-06-07
Inductive Representation Learning on Large Graphs Code
#51Full-batch GraphSAGE
206895
Number of params· 2017-06-07
Inductive Representation Learning on Large Graphs Code
#52CoLinkDistMLP
115806
Number of params· 2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages Code
#53GraphSAGE + C&S + node2vec
103983
Number of params· 2017-06-07
Inductive Representation Learning on Large Graphs Code
#54Full-batch GCN
103727
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#55MLP+FLAG
103727
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#56MLP
103727
Number of params· 2020-05-02
Open Graph Benchmark: Datasets for Machine Learning on Graphs Code
#57MLP + C&S
96247
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#58TCNN
22624
Number of params
No paper
#59Linear + C&S
10763
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#60Plain Linear + C&S
4747
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#61PCAPass + XGBoost
0
Number of params
No paperCode
#62Label Propagation
0
Number of params
No paper