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
Show:102550
← PrevPage 1 of 6Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HIG(pre-trained on PCQM4M)Number of params119,529,665Unverified
2Graphormer (pre-trained on PCQM4M)Number of params119,529,664Unverified
3GraphormerNumber of params119,529,664Unverified
4TGT-Ag+TGT-At-DPNumber of params47,000,000Unverified
5Nested GIN+virtual node (ensemble)Number of params44,187,480Unverified
6MorganFP+Rand. ForestNumber of params29,440,000Unverified
7HyperFusionNumber of params10,887,085Unverified
8HyperFusinoNumber of params10,887,085Unverified
9DGNNumber of params6,732,696Unverified
10PNANumber of params6,550,839Unverified