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 1–50 of 145 papers

Title	Date	Tasks	Status	Hype
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
Improving the Effective Receptive Field of Message-Passing Neural Networks	May 29, 2025	Graph ClassificationGraph Regression	CodeCode Available	1
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks	Apr 24, 2025	Atomic ForcesComputational Efficiency	CodeCode Available	2
Power Spectrum Signatures of Graphs	Mar 12, 2025	DescriptiveGraph Regression	—Unverified	0
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck	Feb 20, 2025	Graph ClassificationGraph Neural Network	CodeCode Available	1
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence	Feb 13, 2025	Graph ClassificationGraph Property Prediction	CodeCode Available	2
Learning Efficient Positional Encodings with Graph Neural Networks	Feb 3, 2025	Graph RegressionGraph Representation Learning	CodeCode Available	1
Beyond Message Passing: Neural Graph Pattern Machine	Jan 30, 2025	Graph ClassificationGraph Learning	CodeCode Available	1
Molecular Fingerprints Are Strong Models for Peptide Function Prediction	Jan 29, 2025	Graph ClassificationGraph Regression	CodeCode Available	3
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
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning	Jun 26, 2024	Graph ClassificationGraph Learning	CodeCode Available	2
Next Level Message-Passing with Hierarchical Support Graphs	Jun 22, 2024	Graph ClassificationGraph Learning	CodeCode Available	0
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability	Jun 13, 2024	Graph ClassificationGraph Regression	CodeCode Available	1
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring	Jun 6, 2024	Graph ClassificationGraph Neural Network	CodeCode Available	1
Learning Long Range Dependencies on Graphs via Random Walks	Jun 5, 2024	Graph ClassificationGraph Property Prediction	CodeCode Available	1
Spatio-Spectral Graph Neural Networks	May 29, 2024	GPUGraph Classification	CodeCode Available	1
A Canonicalization Perspective on Invariant and Equivariant Learning	May 28, 2024	Graph ClassificationGraph Embedding	CodeCode Available	0
Graph neural networks with configuration cross-attention for tensor compilers	May 26, 2024	Graph Property PredictionGraph Regression	CodeCode Available	1
Conditional Local Feature Encoding for Graph Neural Networks	May 8, 2024	Graph ClassificationGraph Regression	—Unverified	0
CKGConv: General Graph Convolution with Continuous Kernels	Apr 21, 2024	Graph ClassificationGraph Learning	CodeCode Available	1
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
An end-to-end attention-based approach for learning on graphs	Feb 16, 2024	Graph ClassificationGraph Regression	CodeCode Available	2
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers	Feb 7, 2024	Drug DiscoveryGraph Learning	CodeCode Available	2
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels	Feb 6, 2024	Graph ClassificationGraph Regression	CodeCode Available	0
Topology-Informed Graph Transformer	Feb 3, 2024	Graph ClassificationGraph Regression	CodeCode Available	1
Graph Transformers without Positional Encodings	Jan 31, 2024	Graph ClassificationGraph Regression	—Unverified	0
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings	Dec 10, 2023	Graph ClassificationGraph Regression	CodeCode Available	0
Graph Convolutions Enrich the Self-Attention in Transformers!	Dec 7, 2023	Clone Detection	CodeCode Available	1
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction	Nov 27, 2023	Graph AttentionGraph Neural Network	—Unverified	0
Advancing Fluid-Based Thermal Management Systems Design: Leveraging Graph Neural Networks for Graph Regression and Efficient Enumeration Reduction	Nov 24, 2023	Graph Neural NetworkGraph Regression	—Unverified	0
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding	Oct 28, 2023	Graph ClassificationGraph Embedding	CodeCode Available	0
Graph Neural Networks with a Distribution of Parametrized Graphs	Oct 25, 2023	Graph RegressionNode Classification	—Unverified	0
Equivariant Matrix Function Neural Networks	Oct 16, 2023	Graph Regression	—Unverified	0
Infinite Width Graph Neural Networks for Node Regression/ Classification	Oct 12, 2023	Gaussian ProcessesGraph Attention	CodeCode Available	0
Graph-level Representation Learning with Joint-Embedding Predictive Architectures	Sep 27, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark	Sep 1, 2023	Graph ClassificationGraph Learning	CodeCode Available	1
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding	Aug 22, 2023	Graph ClassificationGraph Regression	CodeCode Available	1
Modeling Edge Features with Deep Bayesian Graph Networks	Aug 17, 2023	Graph ClassificationGraph Regression	CodeCode Available	0
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting	Aug 16, 2023	Graph Neural NetworkGraph Regression	CodeCode Available	1
Towards Temporal Edge Regression: A Case Study on Agriculture Trade Between Nations	Aug 15, 2023	Graph RegressionLink Prediction	CodeCode Available	1
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes	Aug 13, 2023	Graph ClassificationGraph Property Prediction	—Unverified	0
Neural Priority Queues for Graph Neural Networks	Jul 18, 2023	Graph Regression	—Unverified	0
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks	Jul 15, 2023	Contrastive LearningGraph Learning	CodeCode Available	0
Substructure Aware Graph Neural Networks	Jun 26, 2023	Graph LearningGraph Regression	CodeCode Available	1

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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-PE	MAE	0.21	—	Unverified
10	GatedGCN-E-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	Logistic Regression	AUC@80%Train	0.71	—	Unverified
3	Random Forest	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