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# Poincaré Embedding for Learning Hierarchical Representations
## Abstract
- Representation learning(표현학습)은 텍스트나 그래프 같은 symbolic 데이터에서 학습하기 위해 중요한 접근방법이 되고 있음.
- 그러나 복잡한 symbolic datasets이 잠재된 …
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See full doc: https://docs.google.com/document/d/1nUVnQ90MHMofOFrko5j_uUo72EEWfEOwRxILf-G5SNs/edit
Assuming KG is largely in ABox
* Direct
* Symmetry (e.g. A interacts with B)
* Inver…
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### [PDF] [EQ-CBM: A Probabilistic Concept Bottleneck with Energy…
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For my research i try to trace from paper to events (conferences)
The following SPARQL query gives some good results but the result seems to be incomplete. How could this situation be improved?
``…
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Since the inputs are graphs and couldn't be squeezed onto one axis, how should we visualize the uncertainty predictions in regression tasks?
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In about a week I will retire from work, so from then on I could look more closely into these issues. But I think we are already on the right track!
A question: should we do all our communication v…
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[sound-spaces](https://github.com/facebookresearch/sound-spaces)
[Project: RLR-Audio-Propagation](https://github.com/facebookresearch/rlr-audio-propagation)
[Audio Sensor](https://github.com/f…
yyf17 updated
2 years ago
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Thanks for sharing the great algorithm and library!
Wondering what would be the recommended way of feeding mixed-type data with some categorical features to UMAP? Binary encoding (possibly with app…
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ANN
3d plot
![image](https://github.com/kurtzace/diary2023/assets/2136211/c1882a9d-1c0…
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Hi,
Is it possible to get the embeddings of the entities and relations of the knowledge graph. For instance, a triple is:
Candy tastes sweet. Here, Candy and sweet are the entities and taste is …