SOTAVerified

Graph Regression

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

Papers

Showing 110 of 145 papers

TitleStatusHype
Graph Neural Networks for Jamming Source LocalizationCode0
A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants0
Improving the Effective Receptive Field of Message-Passing Neural NetworksCode1
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural NetworksCode2
Power Spectrum Signatures of Graphs0
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information BottleneckCode1
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet ExcellenceCode2
Learning Efficient Positional Encodings with Graph Neural NetworksCode1
Beyond Message Passing: Neural Graph Pattern MachineCode1
Molecular Fingerprints Are Strong Models for Peptide Function PredictionCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MLP-fingerprintTest MAE20.68Unverified
2GCNTest MAE18.38Unverified
3GINTest MAE16.78Unverified
4GCN-VirtualTest MAE15.79Unverified
5GIN-virtualTest MAE14.87Unverified
6GraphormerTest MAE13.28Unverified
7Higher-Order TransformerValidation MAE0.13Unverified
8EGTValidation MAE0.12Unverified
9Graphormer + GFSAValidation MAE0.12Unverified
10GPTrans-LValidation MAE0.12Unverified