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ResearchFormerly WizWand

Temporal Knowledge Graph Reasoning on YAGO (test)

0.8788Hits@1G2S
0.1094080.3091540.50890.708646Oct 16, 2022Mar 24, 2023Aug 31, 2023Feb 7, 2024Jul 15, 2024Dec 22, 2024May 31, 2025
Updated 8mo ago

Evaluation results

MethodLinks
G2SLearning Strategy=Supervised Fine-tuning2025.050.8788—0.90890.9093
G2S_GL(R) w. WIKISetting=Zero-shot, External Knowledge=WIKI, Anonymization=RID2025.050.8607—0.90820.9102
TITerLearning Strategy=Traditional Method2025.050.845—0.9080.912
XERTELearning Strategy=Traditional Method2025.050.842—0.9020.912
G2S_GL(F)Setting=Zero-shot, Anonymization=FID2025.050.815—0.87540.9079
G2S_GL(F+Map)Setting=Zero-shot, Anonymization=FID + Scenario Mapping2025.050.81—0.87050.9076
G2S_GL(R)Setting=Zero-shot, Anonymization=RID2025.050.804—0.87320.9086
GenTKGLearning Strategy=Supervised Fine-tuning, Evaluation Protocol=Self-developed subset2025.050.7915—0.830.8425
RE-GCNLearning Strategy=Traditional Method2025.050.787—0.8420.884
GPT-NeoX-ICLLearning Strategy=In-context Learning2025.050.787—0.8920.926
GPT-NeoX-ICLSetting=Zero-shot2025.050.784—0.8910.927
FrequencySetting=Zero-shot2025.050.766—0.8590.921
TLogicLearning Strategy=Traditional Method2025.050.74—0.7890.791
llama2-ICLLearning Strategy=In-context Learning2025.050.677—0.790.818
llama2-ICLSetting=Zero-shot2025.050.677—0.790.818
TANGOLearning Strategy=Traditional Method2025.050.59—0.6460.677
llama3-ICLLearning Strategy=In-context Learning2025.050.569—0.5790.579
llama3-ICLSetting=Zero-shot2025.050.569—0.5790.579
MetaTKGRshot=2-shot2022.100.2840.3560.3720.526
MetaDyGNNshot=2-shot2022.100.2650.3160.3320.496
RE-NETshot=2-shot2022.100.220.2330.2810.39
I-GENshot=2-shot2022.100.2160.2370.2910.402
T-GENshot=2-shot2022.100.20.260.2780.379
RotatEshot=2-shot2022.100.1620.210.2440.359
LANshot=2-shot2022.100.1440.20.2090.31
TransRshot=2-shot2022.100.140.1980.2170.312
TransEshot=2-shot2022.100.1390.1930.2040.304