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DeepGraphLearning
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KnowledgeGraphEmbedding
MIT License
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Track/llm kg
#58
himanshunaidu
opened
9 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
10 months ago
0
Why start = 4
#56
passermyh
opened
2 years ago
0
Three questions
#55
zulihit
opened
2 years ago
2
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
3 years ago
1
Regarding the direction of the rotation
#49
seldce
closed
3 years ago
1
regarding RELATION CATEGORY in FB15k
#48
seldce
closed
3 years ago
1
confused about implementation of 1-1, 1-n, n-1, n-n
#47
junkangwu
closed
3 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
4 years ago
0
Interpreting how does RotatE handle 1-N, N-N type relations...
#36
agoel00
closed
4 years ago
1
A question about the data range of negative sampling
#35
renli1024
closed
4 years ago
1
Why do you separate negative head samples and negative tail samples?
#34
renli1024
closed
4 years ago
5
Can we initialize entity embeddings using GLoVE embeddings?
#33
kiranramnath007
closed
4 years ago
1
Code early stop
#32
ToneLi
closed
4 years ago
0
the early stop when setting the max step
#31
ToneLi
closed
4 years ago
0
Bugfix unicode compatibility
#30
wradstok
opened
4 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
5 years ago
1
Given two node embedding, how to predict the relation embedding between them?
#11
aqzheng
closed
5 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
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