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
1HyperFusionNumber of params976,022,023—Unverified
2Refined-GAENumber of params13,816,833—Unverified
3ELGNNNumber of params10,512,391—Unverified
4LRGA+GCN(Node2Vec+Augment)Number of params10,235,281—Unverified
5GCN (node embedding)Number of params5,125,250—Unverified
6GraphSAGE + Edge AttrNumber of params3,761,665—Unverified
7GDNNNumber of params3,761,665—Unverified
8GraphSAGE+anchor distanceNumber of params3,760,134—Unverified
9AGDN (AUC loss)Number of params3,506,691—Unverified
10GIDN@YITUNumber of params3,506,691—Unverified