Node Property Prediction on ogbn-arxiv

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#	Model↕	Number of params▼	Extra Data	Paper	Date↕	Code
1	SimTeG+TAPE+RevGAT	1386219488	No	SimTeG: A Frustratingly Simple Approach Improves...	2023-08-03	Code
2	SimTeG+TAPE+GraphSAGE	1381593403	No	SimTeG: A Frustratingly Simple Approach Improves...	2023-08-03	Code
3	TAPE+RevGAT	280283296	Yes	Harnessing Explanations: LLM-to-LM Interpreter f...	2023-05-31	Code
4	GLEM+RevGAT	140469624	No	Learning on Large-scale Text-attributed Graphs v...	2022-10-26	Code
5	LD+REVGAT	140438868	No	Label Deconvolution for Node Representation Lear...	2023-09-26	Code
6	E2EG (use raw text)	83724841	No	E2EG: End-to-End Node Classification Using Graph...	2022-08-09	Code
7	GCN+residual+node2vec	21885098	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
8	Node2vec	21818792	No	node2vec: Scalable Feature Learning for Networks	2016-07-03	Code
9	GraphZoom (Node2vec)	8963624	No	-	-	-
10	LEGNN + AS-Train	5374120	No	Label-Enhanced Graph Neural Network for Semi-sup...	2022-05-31	Code
11	LEGNN	5374120	No	Label-Enhanced Graph Neural Network for Semi-sup...	2022-05-31	Code
12	BiGTex	5332968	No	Integrating Structural and Semantic Signals in T...	2025-04-16	Code
13	SIGN	3566128	No	SIGN: Scalable Inception Graph Neural Networks	2020-04-23	Code
14	GIANT-XRT+DRGAT+KD	2685527	No	-	-	-
15	GIANT-XRT+DRGAT	2685527	No	-	-	-
16	DRGAT	2685527	No	-	-	-
17	GCNII	2148648	No	Simple and Deep Graph Convolutional Networks	2020-07-04	Code
18	RevGAT+N.Adj+LabelReuse+SelfKD	2098256	No	Training Graph Neural Networks with 1000 Layers	2021-06-14	Code
19	RevGAT+NormAdj+LabelReuse	2098256	No	Training Graph Neural Networks with 1000 Layers	2021-06-14	Code
20	Polynormer	1806160	No	Polynormer: Polynomial-Expressive Graph Transfor...	2024-03-02	Code
21	GraphSAGE	1727272	No	Classic GNNs are Strong Baselines: Reassessing G...	2024-06-13	Code
22	GAT-node2vec + BoT + self-KD	1700432	No	Residual Network and Embedding Usage: New Tricks...	2021-05-18	Code
23	GAT-node2vec + BoT	1700432	No	Residual Network and Embedding Usage: New Tricks...	2021-05-18	Code
24	GAT+FLAG	1628440	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
25	GAT+norm.adj.+labels	1628440	No	Bag of Tricks for Node Classification with Graph...	2021-03-24	Code
26	GAT + C&S	1567000	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
27	AGDN+BoT+self-KD+C&S	1513294	No	Adaptive Graph Diffusion Networks	2020-12-30	Code
28	AGDN+BoT+self-KD	1513294	No	Adaptive Graph Diffusion Networks	2020-12-30	Code
29	AGDN+BoT	1513294	No	Adaptive Graph Diffusion Networks	2020-12-30	Code
30	AGDN (GAT-HA+3_heads+labels)	1508555	No	Adaptive Graph Diffusion Networks	2020-12-30	Code
31	GIANT-XRT+R-RevGAT+KD	1500712	No	-	-	-
32	GaAN	1471506	No	GaAN: Gated Attention Networks for Learning on L...	2018-03-20	Code
33	GCN	1463336	No	Classic GNNs are Strong Baselines: Reassessing G...	2024-06-13	Code
34	AGDN (GAT-HA+3_heads)	1447115	No	Adaptive Graph Diffusion Networks	2020-12-30	Code
35	GAT+label reuse+self KD	1441580	No	Graph Attention Networks	2017-10-30	Code
36	GAT+label+reuse+topo loss	1441580	No	Graph Attention Networks	2017-10-30	Code
37	GAT(norm.adj.)+label reuse+C&S	1441580	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
38	GAT+norm. adj.+label reuse	1441580	No	Bag of Tricks for Node Classification with Graph...	2021-03-24	Code
39	GAT+norm. adj.+labels	1441580	No	Bag of Tricks for Node Classification with Graph...	2021-03-24	Code
40	GIANT-XRT+AGDN+BoT+self-KD	1309760	No	Adaptive Graph Diffusion Networks	2020-12-30	Code
41	GIANT-XRT+AGDN+BoT	1309760	No	Adaptive Graph Diffusion Networks	2020-12-30	Code
42	GraDBERT & RevGAT+KD	1304912	No	-	-	-
43	GIANT-XRT+RevGAT+KD+DCN	1304912	No	ContraNorm: A Contrastive Learning Perspective o...	2023-03-12	Code
44	GIANT-XRT+RevGAT+KD (use raw text)	1304912	No	Node Feature Extraction by Self-Supervised Multi...	2021-10-29	Code
45	GIANT-XRT+RevGAT (use raw text)	1304912	No	-	-	-
46	UniMP_large	1162515	No	Masked Label Prediction: Unified Message Passing...	2020-09-08	Code
47	LGGNN+LabelReuse+C&S	1161640	No	-	-	-
48	GIANT-XRT+LGGNN+LabelReuse+C&S	1161640	No	-	-	-
49	UniMP_v2	687377	No	Masked Label Prediction: Unified Message Passing...	2020-09-08	Code
50	SciBERT & EHGCN (use MAG data)	621944	No	-	-	-
51	GIANT-XRT+GraphSAGE (use raw text)	546344	No	Node Feature Extraction by Self-Supervised Multi...	2021-10-29	Code
52	DeeperGCN+FLAG	491176	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
53	DeeperGCN	491176	No	DeeperGCN: All You Need to Train Deeper GCNs	2020-06-13	Code
54	UniMP	473489	No	Masked Label Prediction: Unified Message Passing...	2020-09-08	Code
55	GIANT-XRT+MLP (use raw text)	273960	No	Node Feature Extraction by Self-Supervised Multi...	2021-10-29	Code
56	GCN+linear+labels	238632	No	Bag of Tricks for Node Classification with Graph...	2021-03-24	Code
57	GraphSAGE+FLAG	218664	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
58	GraphSAGE	218664	No	Inductive Representation Learning on Large Graphs	2017-06-07	Code
59	GIANT+XRT+GATv2	207520	No	How Attentive are Graph Attention Networks?	2021-05-30	Code
60	MLP + C&S	175656	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
61	GCN_res + C&S_v2	155824	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
62	GCN_res + C&S	155824	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
63	GCN_res + 8 layers + FLAG	155824	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
64	GCN_res + 8 layers	155824	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
65	GCN+FLAG	142888	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
66	GCN+residual+6 layers	122542	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
67	CoLinkDistMLP	120912	No	Distilling Self-Knowledge From Contrastive Links...	2021-06-16	Code
68	GCN	110120	No	Semi-Supervised Classification with Graph Convol...	2016-09-09	Code
69	MLP+FLAG	110120	No	Robust Optimization as Data Augmentation for Lar...	2020-10-19	Code
70	MLP	110120	No	Open Graph Benchmark: Datasets for Machine Learn...	2020-05-02	Code
71	GTCN	109096	No	GTNet: A Tree-Based Deep Graph Learning Architec...	2022-04-27	Code
72	EGC-S (100k)	100648	No	Do We Need Anisotropic Graph Neural Networks?	2021-04-03	Code
73	EGC-M (100k)	99464	No	Do We Need Anisotropic Graph Neural Networks?	2021-04-03	Code
74	JKNet (GCN-based)	89000	No	Representation Learning on Graphs with Jumping K...	2018-06-09	Code
75	DAGNN	43857	No	Towards Deeper Graph Neural Networks	2020-07-18	Code
76	GTAN	39208	No	GTNet: A Tree-Based Deep Graph Learning Architec...	2022-04-27	Code
77	Linear + C&S	15400	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
78	Plain Linear + C&S	5160	No	Combining Label Propagation and Simple Models Ou...	2020-10-27	Code
79	PCAPass + XGBoost	0	No	-	-	Code
80	Label Propagation	0	No	-	-	-

#1SimTeG+TAPE+RevGATSOTA
1386219488
Number of params· 2023-08-03
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning Code
#2SimTeG+TAPE+GraphSAGE
1381593403
Number of params· 2023-08-03
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning Code
#3TAPE+RevGATSOTA
280283296
Number of params· Extra Data· 2023-05-31
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning Code
#4GLEM+RevGATSOTA
140469624
Number of params· 2022-10-26
Learning on Large-scale Text-attributed Graphs via Variational Inference Code
#5LD+REVGAT
140438868
Number of params· 2023-09-26
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Code
#6E2EG (use raw text)SOTA
83724841
Number of params· 2022-08-09
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes Code
#7GCN+residual+node2vecSOTA
21885098
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#8Node2vecSOTA
21818792
Number of params· 2016-07-03
node2vec: Scalable Feature Learning for Networks Code
#9GraphZoom (Node2vec)
8963624
Number of params
No paper
#10LEGNN + AS-Train
5374120
Number of params· 2022-05-31
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Code
#11LEGNN
5374120
Number of params· 2022-05-31
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification Code
#12BiGTex
5332968
Number of params· 2025-04-16
Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex Code
#13SIGN
3566128
Number of params· 2020-04-23
SIGN: Scalable Inception Graph Neural Networks Code
#14GIANT-XRT+DRGAT+KD
2685527
Number of params
No paper
#15GIANT-XRT+DRGAT
2685527
Number of params
No paper
#16DRGAT
2685527
Number of params
No paper
#17GCNII
2148648
Number of params· 2020-07-04
Simple and Deep Graph Convolutional Networks Code
#18RevGAT+N.Adj+LabelReuse+SelfKD
2098256
Number of params· 2021-06-14
Training Graph Neural Networks with 1000 Layers Code
#19RevGAT+NormAdj+LabelReuse
2098256
Number of params· 2021-06-14
Training Graph Neural Networks with 1000 Layers Code
#20Polynormer
1806160
Number of params· 2024-03-02
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Code
#21GraphSAGE
1727272
Number of params· 2024-06-13
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Code
#22GAT-node2vec + BoT + self-KD
1700432
Number of params· 2021-05-18
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Code
#23GAT-node2vec + BoT
1700432
Number of params· 2021-05-18
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Code
#24GAT+FLAG
1628440
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#25GAT+norm.adj.+labels
1628440
Number of params· 2021-03-24
Bag of Tricks for Node Classification with Graph Neural Networks Code
#26GAT + C&S
1567000
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#27AGDN+BoT+self-KD+C&S
1513294
Number of params· 2020-12-30
Adaptive Graph Diffusion Networks Code
#28AGDN+BoT+self-KD
1513294
Number of params· 2020-12-30
Adaptive Graph Diffusion Networks Code
#29AGDN+BoT
1513294
Number of params· 2020-12-30
Adaptive Graph Diffusion Networks Code
#30AGDN (GAT-HA+3_heads+labels)
1508555
Number of params· 2020-12-30
Adaptive Graph Diffusion Networks Code
#31GIANT-XRT+R-RevGAT+KD
1500712
Number of params
No paper
#32GaAN
1471506
Number of params· 2018-03-20
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Code
#33GCN
1463336
Number of params· 2024-06-13
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Code
#34AGDN (GAT-HA+3_heads)
1447115
Number of params· 2020-12-30
Adaptive Graph Diffusion Networks Code
#35GAT+label reuse+self KD
1441580
Number of params· 2017-10-30
Graph Attention Networks Code
#36GAT+label+reuse+topo loss
1441580
Number of params· 2017-10-30
Graph Attention Networks Code
#37GAT(norm.adj.)+label reuse+C&S
1441580
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#38GAT+norm. adj.+label reuse
1441580
Number of params· 2021-03-24
Bag of Tricks for Node Classification with Graph Neural Networks Code
#39GAT+norm. adj.+labels
1441580
Number of params· 2021-03-24
Bag of Tricks for Node Classification with Graph Neural Networks Code
#40GIANT-XRT+AGDN+BoT+self-KD
1309760
Number of params· 2020-12-30
Adaptive Graph Diffusion Networks Code
#41GIANT-XRT+AGDN+BoT
1309760
Number of params· 2020-12-30
Adaptive Graph Diffusion Networks Code
#42GraDBERT & RevGAT+KD
1304912
Number of params
No paper
#43GIANT-XRT+RevGAT+KD+DCN
1304912
Number of params· 2023-03-12
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond Code
#44GIANT-XRT+RevGAT+KD (use raw text)
1304912
Number of params· 2021-10-29
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Code
#45GIANT-XRT+RevGAT (use raw text)
1304912
Number of params
No paper
#46UniMP_large
1162515
Number of params· 2020-09-08
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Code
#47LGGNN+LabelReuse+C&S
1161640
Number of params
No paper
#48GIANT-XRT+LGGNN+LabelReuse+C&S
1161640
Number of params
No paper
#49UniMP_v2
687377
Number of params· 2020-09-08
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Code
#50SciBERT & EHGCN (use MAG data)
621944
Number of params
No paper
#51GIANT-XRT+GraphSAGE (use raw text)
546344
Number of params· 2021-10-29
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Code
#52DeeperGCN+FLAG
491176
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#53DeeperGCN
491176
Number of params· 2020-06-13
DeeperGCN: All You Need to Train Deeper GCNs Code
#54UniMP
473489
Number of params· 2020-09-08
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Code
#55GIANT-XRT+MLP (use raw text)
273960
Number of params· 2021-10-29
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Code
#56GCN+linear+labels
238632
Number of params· 2021-03-24
Bag of Tricks for Node Classification with Graph Neural Networks Code
#57GraphSAGE+FLAG
218664
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#58GraphSAGE
218664
Number of params· 2017-06-07
Inductive Representation Learning on Large Graphs Code
#59GIANT+XRT+GATv2
207520
Number of params· 2021-05-30
How Attentive are Graph Attention Networks?Code
#60MLP + C&S
175656
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#61GCN_res + C&S_v2
155824
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#62GCN_res + C&S
155824
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#63GCN_res + 8 layers + FLAG
155824
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#64GCN_res + 8 layers
155824
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#65GCN+FLAG
142888
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#66GCN+residual+6 layers
122542
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#67CoLinkDistMLP
120912
Number of params· 2021-06-16
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages Code
#68GCN
110120
Number of params· 2016-09-09
Semi-Supervised Classification with Graph Convolutional Networks Code
#69MLP+FLAG
110120
Number of params· 2020-10-19
Robust Optimization as Data Augmentation for Large-scale Graphs Code
#70MLP
110120
Number of params· 2020-05-02
Open Graph Benchmark: Datasets for Machine Learning on Graphs Code
#71GTCN
109096
Number of params· 2022-04-27
GTNet: A Tree-Based Deep Graph Learning Architecture Code
#72EGC-S (100k)
100648
Number of params· 2021-04-03
Do We Need Anisotropic Graph Neural Networks?Code
#73EGC-M (100k)
99464
Number of params· 2021-04-03
Do We Need Anisotropic Graph Neural Networks?Code
#74JKNet (GCN-based)
89000
Number of params· 2018-06-09
Representation Learning on Graphs with Jumping Knowledge Networks Code
#75DAGNN
43857
Number of params· 2020-07-18
Towards Deeper Graph Neural Networks Code
#76GTAN
39208
Number of params· 2022-04-27
GTNet: A Tree-Based Deep Graph Learning Architecture Code
#77Linear + C&S
15400
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#78Plain Linear + C&S
5160
Number of params· 2020-10-27
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Code
#79PCAPass + XGBoost
0
Number of params
No paperCode
#80Label Propagation
0
Number of params
No paper