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Link Property Prediction 벤치마크

Link Property Prediction on ogbl-ddi

31개 결과 · ⬇ CSV · JSON

RankModel Ext. dataTest Hits@20Validation Hits@20Number of params PaperCodeYear
1 HyperFusion No0.9972 ± 0.00040.9956 ± 0.0001976022023
2 ELGNN No0.9777 ± 0.00370.8965 ± 0.002110512391 Ensemble Learning for Graph Neural Networks wongzhenhao/ELGNN · wongzhenhao/elgnn 2023
3 GCN (node embedding) No0.9549 ± 0.00730.9098 ± 0.02945125250 Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods astroming/GNNHE 2024
4 GIDN@YITU No0.9542 ± 0.00000.8258 ± 0.00003506691 GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction 2022
5 AGDN (AUC loss) No0.9538 ± 0.00940.8943 ± 0.02813506691 Adaptive Graph Diffusion Networks skepsun/SAGN_with_SLE 2020
6 Refined-GAE No0.9443 ± 0.00570.7979 ± 0.015913816833 Reconsidering the Performance of GAE in Link Prediction GraphPKU/Refined-GAE · graphpku/refined-gae 2024
7 PSG No0.9284 ± 0.00470.8306 ± 0.01343499009 Path-aware Siamese Graph Neural Network for Link Prediction jingsonglv/PSG 2022
8 PLNLP No0.9088 ± 0.03130.8242 ± 0.02533497473 Pairwise Learning for Neural Link Prediction zhitao-wang/PLNLP · zhitao-wang/plnlp 2021
9 GDNN No0.9037 ± 0.01930.8599 ± 0.02863761665
10 GraphSAGE + Edge Attr No0.8781 ± 0.04740.8044 ± 0.04043761665
11 CFLP (w/ JKNet) No0.8608 ± 0.01980.8405 ± 0.0284837635 Learning from Counterfactual Links for Link Prediction DM2-ND/CFLP 2021
12 GraphSAGE+anchor distance No0.8239 ± 0.04370.8206 ± 0.02983760134 Distance-Enhanced Graph Neural Network for Link Prediction lbn187/DLGNN 2021
13 NeuralCommonNeighbor No0.8232 ± 0.06100.7172 ± 0.00251412098 Neural Common Neighbor with Completion for Link Prediction GraphPKU/NeuralCommonNeighbor 2023
14 ELPH No0.7704 ± 0.05820.6928 ± 0.00962910817
15 DEA + JKNet No0.7672 ± 0.02650.6713 ± 0.00711763329
16 BUDDY No0.7654 ± 0.04590.6927 ± 0.00542712931
17 GraphSAGE+Edge Proposal Set No0.7495 ± 0.03170.6696 ± 0.01981421057 Edge Proposal Sets for Link Prediction sangyx/gtrick · CUAI/Edge-Proposal-Sets 2021
18 LRGA+GCN(Node2Vec+Augment) No0.7385 ± 0.08710.7225 ± 0.004710235281
19 MAD Learning No0.6781 ± 0.02940.7010 ± 0.00821228897 Memory-Associated Differential Learning cf020031308/mad-learning · cf020031308/mad-learning 2021
20 LRGA + GCN No0.6230 ± 0.09120.6675 ± 0.00581576081 Global Attention Improves Graph Networks Generalization omri1348/LRGA · omri1348/LRGA · chuanqichen/cs224w 2020
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