SOTAVerified

Graph Property Prediction

Papers

Showing 110 of 56 papers

TitleStatusHype
Graph Positional Autoencoders as Self-supervised Learners0
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling0
GotenNet: Rethinking Efficient 3D Equivariant Graph Neural NetworksCode2
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet ExcellenceCode2
Graph Generative Pre-trained Transformer0
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph LearningCode0
Data-Driven Self-Supervised Graph Representation LearningCode0
Next Level Message-Passing with Hierarchical Support GraphsCode0
Towards Neural Scaling Laws for Foundation Models on Temporal GraphsCode1
Learning Long Range Dependencies on Graphs via Random WalksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GMAN+bag of tricksNumber of params63,684,290Unverified
2DAGNNNumber of params35,246,814Unverified
3SATNumber of params15,734,000Unverified
4DAGformerNumber of params14,952,882Unverified
5SAT++ with Magnetic LaplacianNumber of params14,378,069Unverified
6GIN+virtual nodeNumber of params13,841,815Unverified
7GCN+virtual nodeNumber of params12,484,310Unverified
8GINNumber of params12,390,715Unverified
9EGC-S (No Edge Features)Number of params11,156,530Unverified
10GCNNumber of params11,033,210Unverified