Dynamic Link Prediction on Enron (transductive) (AP)
95.81APCTDG-SSM
Evaluation results
| Method | Links | |
|---|---|---|
| CTDG-SSMNSS=INS2026.06 | 95.81 | |
| CTDG-SSMNSS=ind2026.06 | 95.81 | |
| CTDG-SSMNSS=HNS2026.06 | 95.8 | |
| CTDG-SSMNSS=hist2026.06 | 95.8 | |
| CTDG-SSMNSS=RNS2026.06 | 94.46 | |
| CTDG-SSMNSS=rnd2026.06 | 94.46 | |
| DyG-MambaNSS=rnd2026.06 | 93.14 | |
| DyGmambaNSS=RNS2026.06 | 92.65 | |
| CTANNSS=RNS2026.06 | 92.52 | |
| FreeDyGNSS=rnd2026.06 | 92.51 | |
| DyGFormerNSS=RNS2026.06 | 92.42 | |
| FREEDYG + FLASHBase TGNN Model=FREEDYG, Neighborhood Sampling Strategy=FLASH, Number of historical neighbors=22025.04 | 91.31 | |
| TGN + FLASHBase TGNN Model=TGN, Neighborhood Sampling Strategy=FLASH, Number of historical neighbors=22025.04 | 89.9 | |
| CAWNNSS=RNS2026.06 | 89.5 | |
| FREEDYG + Trunc.Base TGNN Model=FREEDYG, Neighborhood Sampling Strategy=Trunc., Number of historical neighbors=22025.04 | 88.77 | |
| FREEDYG + NLBBase TGNN Model=FREEDYG, Neighborhood Sampling Strategy=NLB, Number of historical neighbors=22025.04 | 88.77 | |
| DYGFORMER + FLASHBase TGNN Model=DYGFORMER, Neighborhood Sampling Strategy=FLASH, Number of historical neighbors=22025.04 | 88.7 | |
| FREEDYG + Uni.Base TGNN Model=FREEDYG, Neighborhood Sampling Strategy=Uni., Number of historical neighbors=22025.04 | 88.46 | |
| FREEDYG + TASERBase TGNN Model=FREEDYG, Neighborhood Sampling Strategy=TASER, Number of historical neighbors=22025.04 | 87.24 | |
| TGNNSS=RNS2026.06 | 86.98 | |
| TGN + TASERBase TGNN Model=TGN, Neighborhood Sampling Strategy=TASER, Number of historical neighbors=22025.04 | 86.87 | |
| TGN + Trunc.Base TGNN Model=TGN, Neighborhood Sampling Strategy=Trunc., Number of historical neighbors=22025.04 | 86.51 | |
| TGN + NLBBase TGNN Model=TGN, Neighborhood Sampling Strategy=NLB, Number of historical neighbors=22025.04 | 86.51 | |
| GRAPHMIXER + FLASHBase TGNN Model=GRAPHMIXER, Neighborhood Sampling Strategy=FLASH, Number of historical neighbors=22025.04 | 85.74 | |
| TGN + Uni.Base TGNN Model=TGN, Neighborhood Sampling Strategy=Uni., Number of historical neighbors=22025.04 | 85.47 | |
| TCLNSS=RNS2026.06 | 85.41 | |
| JODIENSS=RNS2026.06 | 84.85 | |
| EdgebankNSS=rnd2026.06 | 83.53 | |
| DYGFORMER + Trunc.Base TGNN Model=DYGFORMER, Neighborhood Sampling Strategy=Trunc., Number of historical neighbors=22025.04 | 82.35 | |
| DYGFORMER + Uni.Base TGNN Model=DYGFORMER, Neighborhood Sampling Strategy=Uni., Number of historical neighbors=22025.04 | 82.35 | |
| GraphMixerNSS=RNS2026.06 | 82.13 | |
| DYGFORMER + NLBBase TGNN Model=DYGFORMER, Neighborhood Sampling Strategy=NLB, Number of historical neighbors=22025.04 | 81.86 | |
| DYGFORMER + TASERBase TGNN Model=DYGFORMER, Neighborhood Sampling Strategy=TASER, Number of historical neighbors=22025.04 | 81.74 | |
| GRAPHMIXER + Trunc.Base TGNN Model=GRAPHMIXER, Neighborhood Sampling Strategy=Trunc., Number of historical neighbors=22025.04 | 81.63 | |
| GRAPHMIXER + NLBBase TGNN Model=GRAPHMIXER, Neighborhood Sampling Strategy=NLB, Number of historical neighbors=22025.04 | 81.01 | |
| DyRepNSS=RNS2026.06 | 79.8 | |
| TGAT + FLASHBase TGNN Model=TGAT, Neighborhood Sampling Strategy=FLASH, Number of historical neighbors=22025.04 | 79.04 | |
| FreeDyGNSS=hist2026.06 | 78.87 | |
| GRAPHMIXER + TASERBase TGNN Model=GRAPHMIXER, Neighborhood Sampling Strategy=TASER, Number of historical neighbors=22025.04 | 77.9 | |
| DyG-MambaNSS=hist2026.06 | 77.85 | |
| FreeDyGNSS=ind2026.06 | 77.81 | |
| DyG-MambaNSS=ind2026.06 | 77.46 | |
| EdgebankNSS=hist2026.06 | 76.53 | |
| EdgebankNSS=ind2026.06 | 73.89 | |
| TGAT + Trunc.Base TGNN Model=TGAT, Neighborhood Sampling Strategy=Trunc., Number of historical neighbors=22025.04 | 72.91 | |
| TGATNSS=RNS2026.06 | 70.76 | |
| TGAT + NLBBase TGNN Model=TGAT, Neighborhood Sampling Strategy=NLB, Number of historical neighbors=22025.04 | 70.69 | |
| JODIENSS=HNS2026.06 | 69.13 | |
| TGAT + TASERBase TGNN Model=TGAT, Neighborhood Sampling Strategy=TASER, Number of historical neighbors=22025.04 | 60.55 | |
| GRAPHMIXER + Uni.Base TGNN Model=GRAPHMIXER, Neighborhood Sampling Strategy=Uni., Number of historical neighbors=22025.04 | 55.65 | |
| TGAT + Uni.Base TGNN Model=TGAT, Neighborhood Sampling Strategy=Uni., Number of historical neighbors=22025.04 | 51.34 |