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
1Random ForestsRMSE@80%Train1.16Unverified
2Logistic RegressionRMSE@80%Train1.15Unverified
3SGCRMSE1Unverified
4AGNNRMSE0.96Unverified
5GATRMSE0.95Unverified
6CensNetRMSE@80%Train0.93Unverified
7ARMARMSE0.89Unverified
8RFRMSE0.88Unverified
9XGBoostRMSE0.8Unverified
10MPNNRMSE0.72Unverified