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
1Graphormer (pre-trained on PCQM4M)Number of params47,183,040Unverified
2GraphormerNumber of params47,183,040Unverified
3Graphormer + FPsNumber of params47,085,378Unverified
4PAS+FPsNumber of params26,706,953Unverified
5HyperFusionNumber of params5,908,027Unverified
6P-WLNumber of params4,600,000Unverified
7DeepAUCNumber of params3,444,509Unverified
8GSNNumber of params3,338,701Unverified
9GIN+virtual nodeNumber of params3,336,306Unverified
10GIN+virtual node+FLAGNumber of params3,336,306Unverified