DeepGraphLearning KnowledgeGraphEmbedding issues

DeepGraphLearning / KnowledgeGraphEmbedding

MIT License

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issues

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Track/llm kg

#58 himanshunaidu opened 7 months ago
0
"IndexError: index out of range in self" when I train on my own knowledge graph. Can anyone help me with this? Thanks a lot!

#57 YoannCheung closed 8 months ago
0
Why start = 4

#56 passermyh opened 1 year ago
0
Three questions

#55 zulihit opened 2 years ago
1
How to designate dimension of embeddings

#54 yq-leo closed 2 years ago
0
Memory consumption issue

#53 p6jain opened 2 years ago
1
L3 regularization

#52 yancy826 opened 2 years ago
0
CUDA out of memory (resolved) and method to make RotatE run faster

#51 Thuy-g closed 2 years ago
2
Init embedding random OR by bert encode from entity description text

#50 fridayL closed 2 years ago
1
Regarding the direction of the rotation

#49 seldce closed 2 years ago
1
regarding RELATION CATEGORY in FB15k

#48 seldce closed 2 years ago
1
confused about implementation of 1-1, 1-n, n-1, n-n

#47 junkangwu closed 2 years ago
1
hi，a priblem about multi GPU training

#46 Zhangs996 closed 3 years ago
1
N-1 and 1-N relations

#45 Walker-ZD closed 3 years ago
3
When I train a more huge dataset by model RotatE, always show the question "CUDA out of memory" ?

#44 Dionysusssss closed 3 years ago
1
How to split the train/valid/test

#43 SRL94 closed 3 years ago
1
how do you generate the embedding? Is it a random walk or something? I mean what is the main algorithm for embedding.

#42 programmingboy closed 3 years ago
1
confused about implementation of DistMult

#41 junkangwu closed 3 years ago
1
RuntimeError: The size of tensor a (2000) must match the size of tensor b (1000) at non-singleton dimension 2

#40 jweihe closed 3 years ago
3
Pretrained models

#39 Demirrr opened 3 years ago
0
GPU Out Of Memory

#38 ms0510k closed 3 years ago
2
How does RotatE deal with anti-symmetric relations?

#37 empty-id closed 3 years ago
0
Interpreting how does RotatE handle 1-N, N-N type relations...

#36 agoel00 closed 3 years ago
1
A question about the data range of negative sampling

#35 renli1024 closed 3 years ago
1
Why do you separate negative head samples and negative tail samples?

#34 renli1024 closed 3 years ago
5
Can we initialize entity embeddings using GLoVE embeddings?

#33 kiranramnath007 closed 3 years ago
1
Code early stop

#32 ToneLi closed 3 years ago
0
the early stop when setting the max step

#31 ToneLi closed 3 years ago
0
Bugfix unicode compatibility

#30 wradstok opened 3 years ago
1
Did you just use the first batch to train the model? Can you help me solve my problem?

#29 ToneLi closed 4 years ago
2
train error

#28 as3896001 closed 4 years ago
6
Hi,I want to

#27 Aristomd closed 4 years ago
2
Loss function of TransE and RotatE in the code

#26 ngl567 closed 4 years ago
2
Can't find log files

#25 p6jain closed 4 years ago
3
invalid syntax error

#24 Bishnukuet closed 4 years ago
3
Issue of the evaluation results on WN18RR

#23 ngl567 closed 4 years ago
1
RuntimeError: CUDA out of memory.

#22 DonnieZhang586 closed 4 years ago
1
About the seed setting.

#21 Zawo1995 closed 4 years ago
1
why the ComplEx just get 0.74 Hits10 on FB15k which is lower than paper's 0.84 for 0.1

#20 WQQQQQQQQQQ closed 4 years ago
1
why complEx

#19 WQQQQQQQQQQ closed 4 years ago
0
Reproduce DistMult results

#18 jinxing94 closed 4 years ago
1
How to use embedding to compute triplet score

#17 zhongpeixiang closed 4 years ago
1
Compute Head and Tail Prediction on FB15K dataset

#16 MuhibKhan closed 4 years ago
6
Some question about the test process.

#15 zysforever closed 4 years ago
2
RotatE: this implementation vs GraphVite

#14 AndRossi opened 4 years ago
2
How to get the embeddings file of all the entities and relations?

#13 Shengqiang-Zhang closed 4 years ago
1
Question about relaxing RotatE

#12 Chen-Cai-OSU closed 4 years ago
1
Given two node embedding, how to predict the relation embedding between them?

#11 aqzheng closed 4 years ago
1
Scoring functions and Adversarial Loss Parameters

#10 sumitpai closed 5 years ago
1
Question about the embedding range (weight initialization and phase normalization)

#9 tabacof closed 5 years ago
1