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
1EIGENFORMERMAE0.26Unverified
2ViT-PSMAE0.26Unverified
3CIN++-500kMAE0.25Unverified
4BoPMAE0.25Unverified
5TIGTMAE0.25Unverified
6CKGCNMAE0.25Unverified
7RDKit + LightGBMMAE0.25Unverified
8TT + LightGBMMAE0.24Unverified
9ECFP + LightGBMMAE0.24Unverified