Graph Regression

The regression task is similar to graph classification but using different loss function and performance metric.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–100 of 145 papers

Title	Date	Tasks	Status	Hype
Long Range Graph Benchmark	Jun 16, 2022	BenchmarkingGraph Classification	CodeCode Available	1
Graph Rationalization with Environment-based Augmentations	Jun 6, 2022	Graph RegressionProperty Prediction	CodeCode Available	1
Automatic Relation-aware Graph Network Proliferation	May 31, 2022	Graph ClassificationGraph Learning	CodeCode Available	1
Sign and Basis Invariant Networks for Spectral Graph Representation Learning	Feb 25, 2022	Graph RegressionGraph Representation Learning	CodeCode Available	1
GRPE: Relative Positional Encoding for Graph Transformer	Jan 30, 2022	Graph ClassificationGraph Regression	CodeCode Available	1
A New Perspective on the Effects of Spectrum in Graph Neural Networks	Dec 14, 2021	Graph ClassificationGraph Property Prediction	CodeCode Available	1
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks	Nov 11, 2021	Graph ClassificationGraph Regression	CodeCode Available	1
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs	Oct 27, 2021	2kGraph Regression	CodeCode Available	1
Graph Neural Networks with Learnable Structural and Positional Representations	Oct 15, 2021	Graph RegressionKnowledge Graphs	CodeCode Available	1
Global Self-Attention as a Replacement for Graph Convolution	Aug 7, 2021	Edge ClassificationGraph Classification	CodeCode Available	1
Weisfeiler and Lehman Go Cellular: CW Networks	Jun 23, 2021	Graph ClassificationGraph Property Prediction	CodeCode Available	1
How Attentive are Graph Attention Networks?	May 30, 2021	Graph AttentionGraph Classification	CodeCode Available	1
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs	May 21, 2021	2kGraph Regression	CodeCode Available	1
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs	Mar 17, 2021	BIG-bench Machine LearningGraph Learning	CodeCode Available	1
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing	Feb 17, 2021	Graph ClassificationGraph Learning	CodeCode Available	1
A Generalization of Transformer Networks to Graphs	Dec 17, 2020	Graph RegressionInductive Bias	CodeCode Available	1
Factorizable Graph Convolutional Networks	Oct 12, 2020	Graph ClassificationGraph Regression	CodeCode Available	1
Directional Graph Networks	Oct 6, 2020	Data AugmentationGraph Classification	CodeCode Available	1
Learning Graph Normalization for Graph Neural Networks	Sep 24, 2020	Graph ClassificationGraph Regression	CodeCode Available	1
Multilevel Graph Matching Networks for Deep Graph Similarity Learning	Jul 8, 2020	Graph ClassificationGraph Matching	CodeCode Available	1
Simple and Deep Graph Convolutional Networks	Jul 4, 2020	Graph ClassificationGraph Regression	CodeCode Available	1
Path Integral Based Convolution and Pooling for Graph Neural Networks	Jun 29, 2020	Graph ClassificationGraph Regression	CodeCode Available	1
Building powerful and equivariant graph neural networks with structural message-passing	Jun 26, 2020	Graph RegressionInductive Bias	CodeCode Available	1
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting	Jun 16, 2020	Graph ClassificationGraph Neural Network	CodeCode Available	1
Optimal Transport Graph Neural Networks	Jun 8, 2020	Drug DiscoveryGraph Neural Network	CodeCode Available	1
A physics-informed neural network for wind turbine main bearing fatigue	May 5, 2020	Graph RegressionGraph-to-Sequence	CodeCode Available	1
Principal Neighbourhood Aggregation for Graph Nets	Apr 12, 2020	Graph ClassificationGraph Regression	CodeCode Available	1
Physics-informed neural networks for corrosion-fatigue prognosis	Sep 22, 2019	Graph RegressionGraph-to-Sequence	CodeCode Available	1
Simplifying Graph Convolutional Networks	Feb 19, 2019	Graph RegressionImage Classification	CodeCode Available	1
Fleet Prognosis with Physics-informed Recurrent Neural Networks	Jan 16, 2019	Graph RegressionGraph-to-Sequence	CodeCode Available	1
How Powerful are Graph Neural Networks?	Oct 1, 2018	General ClassificationGraph Classification	CodeCode Available	1
Graph Attention Networks	Oct 30, 2017	Document ClassificationGraph Attention	CodeCode Available	1
Inductive Representation Learning on Large Graphs	Jun 7, 2017	Graph ClassificationGraph Regression	CodeCode Available	1
Neural Message Passing for Quantum Chemistry	Apr 4, 2017	Drug DiscoveryFormation Energy	CodeCode Available	1
Semi-Supervised Classification with Graph Convolutional Networks	Sep 9, 2016	Document ClassificationDrug Discovery	CodeCode Available	1
Graph Neural Networks for Jamming Source Localization	Jun 1, 2025	feature selectiongraph construction	CodeCode Available	0
A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants	May 29, 2025	Graph Neural NetworkGraph Regression	—Unverified	0
Power Spectrum Signatures of Graphs	Mar 12, 2025	DescriptiveGraph Regression	—Unverified	0
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning	Nov 23, 2024	Computational EfficiencyGraph Neural Network	CodeCode Available	0
From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis	Nov 17, 2024	Graph RegressionHeterogeneous Node Classification	CodeCode Available	0
Node Regression on Latent Position Random Graphs via Local Averaging	Oct 29, 2024	Graph RegressionNode Regression	—Unverified	0
FIT-GNN: Faster Inference Time for GNNs Using Coarsening	Oct 19, 2024	ClassificationGraph Classification	CodeCode Available	0
GINTRIP: Interpretable Temporal Graph Regression using Information bottleneck and Prototype-based method	Sep 17, 2024	Graph RegressionMulti-Task Learning	CodeCode Available	0
HyperAggregation: Aggregating over Graph Edges with Hypernetworks	Jul 16, 2024	Graph ClassificationGraph Regression	CodeCode Available	0
Next Level Message-Passing with Hierarchical Support Graphs	Jun 22, 2024	Graph ClassificationGraph Learning	CodeCode Available	0
A Canonicalization Perspective on Invariant and Equivariant Learning	May 28, 2024	Graph ClassificationGraph Embedding	CodeCode Available	0
Conditional Local Feature Encoding for Graph Neural Networks	May 8, 2024	Graph ClassificationGraph Regression	—Unverified	0
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data	Mar 11, 2024	Graph AttentionGraph Regression	—Unverified	0
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels	Feb 6, 2024	Graph ClassificationGraph Regression	CodeCode Available	0
Graph Transformers without Positional Encodings	Jan 31, 2024	Graph ClassificationGraph Regression	—Unverified	0

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All datasets ZINC-500k ZINC PCQM4Mv2-LSC Lipophilicity PCQM4M-LSC Peptides-struct ZINC 100k Tox21 ZINC-full ESOL QM9 QM9: del e

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CKGCN	MAE	5.9	—	Unverified
2	GIN	MAE	0.53	—	Unverified
3	GraphSage	MAE	0.4	—	Unverified
4	RingGNN	MAE	0.35	—	Unverified
5	3WLGNN	MAE	0.3	—	Unverified
6	MoNet	MAE	0.29	—	Unverified
7	GatedGCN	MAE	0.28	—	Unverified
8	MPNN (max)	MAE	0.25	—	Unverified
9	GatedGCN-E-PE	MAE	0.21	—	Unverified
10	GatedGCN-PE	MAE	0.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Graph-JEPA	MAE	0.43	—	Unverified
2	FactorGCN	MAE	0.37	—	Unverified
3	ChebNet	MAE	0.36	—	Unverified
4	BoP	MAE	0.3	—	Unverified
5	MMA	MAE	0.16	—	Unverified
6	PNA	MAE	0.14	—	Unverified
7	CRaWl	MAE	0.1	—	Unverified
8	PIN	MAE	0.1	—	Unverified
9	CIN-small	MAE	0.09	—	Unverified
10	CIN++-small	MAE	0.09	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MLP-Fingerprint	Validation MAE	0.18	—	Unverified
2	GCN	Validation MAE	0.14	—	Unverified
3	GIN	Validation MAE	0.12	—	Unverified
4	TokenGT	Validation MAE	0.09	—	Unverified
5	EGT+SSA	Validation MAE	0.09	—	Unverified
6	GRPE-Large	Validation MAE	0.09	—	Unverified
7	EGT+SSA+Self-ensemble	Validation MAE	0.09	—	Unverified
8	Graphormer	Validation MAE	0.09	—	Unverified
9	Graphormer + GFSA	Validation MAE	0.09	—	Unverified
10	GRIT	Validation MAE	0.09	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Random Forests	RMSE@80%Train	1.16	—	Unverified
2	Logistic Regression	RMSE@80%Train	1.15	—	Unverified
3	SGC	RMSE	1	—	Unverified
4	AGNN	RMSE	0.96	—	Unverified
5	GAT	RMSE	0.95	—	Unverified
6	CensNet	RMSE@80%Train	0.93	—	Unverified
7	ARMA	RMSE	0.89	—	Unverified
8	RF	RMSE	0.88	—	Unverified
9	XGBoost	RMSE	0.8	—	Unverified
10	MPNN	RMSE	0.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MLP-fingerprint	Test MAE	20.68	—	Unverified
2	GCN	Test MAE	18.38	—	Unverified
3	GIN	Test MAE	16.78	—	Unverified
4	GCN-Virtual	Test MAE	15.79	—	Unverified
5	GIN-virtual	Test MAE	14.87	—	Unverified
6	Graphormer	Test MAE	13.28	—	Unverified
7	Higher-Order Transformer	Validation MAE	0.13	—	Unverified
8	EGT	Validation MAE	0.12	—	Unverified
9	Graphormer + GFSA	Validation MAE	0.12	—	Unverified
10	GPTrans-L	Validation MAE	0.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EIGENFORMER	MAE	0.26	—	Unverified
2	ViT-PS	MAE	0.26	—	Unverified
3	CIN++-500k	MAE	0.25	—	Unverified
4	BoP	MAE	0.25	—	Unverified
5	TIGT	MAE	0.25	—	Unverified
6	CKGCN	MAE	0.25	—	Unverified
7	RDKit + LightGBM	MAE	0.25	—	Unverified
8	TT + LightGBM	MAE	0.24	—	Unverified
9	ECFP + LightGBM	MAE	0.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GAT	MAE	0.46	—	Unverified
2	MoNet	MAE	0.41	—	Unverified
3	GatedGCN	MAE	0.36	—	Unverified
4	MPNN	MAE	0.29	—	Unverified
5	EGT	MAE	0.14	—	Unverified
6	ARGNP	MAE	0.14	—	Unverified
7	GSN	MAE	0.12	—	Unverified
8	CIN-small	MAE	0.09	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CensNet	AUC@80%Train	0.78	—	Unverified
2	Random Forest	AUC@80%Train	0.71	—	Unverified
3	Logistic Regression	AUC@80%Train	0.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GRIT	Test MAE	0.02	—	Unverified
2	TIGT	Test MAE	0.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ProtoW-dot	RMSE	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FIT-GNN	Inference Time (ms)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FIT-GNN	MAE	0.88	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FIT-GNN	MAE	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FIT-GNN	MAE	0.63	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FIT-GNN	MAE	0.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FIT-GNN	Inference Time (ms)	0	—	Unverified