SOTAVerified

Link Property Prediction

Papers

Showing 1–10 of 13 papers

TitleStatusHype
Edge2Node: Reducing Edge Prediction to Node Classification—0
Temporal graph models fail to capture global temporal dynamicsCode0
Path-aware Siamese Graph Neural Network for Link PredictionCode0
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation LearningCode0
Pairwise Learning for Neural Link PredictionCode1
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector QuantizationCode1
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsCode1
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link PredictionCode1
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Distance-Enhanced Graph Neural Network for Link PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Refined-GAENumber of params295,848,449—Unverified
2DeepWalkNumber of params150,138,741—Unverified
3GCN (node embedding)Number of params148,144,898—Unverified
4MPLPNumber of params147,794,531—Unverified
5Matrix FactorizationNumber of params147,662,849—Unverified
6GraphGPT(SMTP)Number of params145,263,360—Unverified
7Node2vecNumber of params73,878,913—Unverified
8AGDNNumber of params36,904,259—Unverified
9S3GRL (PoS Plus)Number of params32,270,001—Unverified
10SIEGNumber of params1,993,965—Unverified