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Theoretical Knowledge Graph Reasoning via Ending Anchored Rules


Dec 15, 2020
Canlin Zhang, Yannis Katsis, Yoshiki Vazquez-Baeza, Andrew Bartko, Ho-Cheol Kim, Chun-Nan Hsu

* Comparing to v2, v3 raises the lower bound of the connection set to be 2, which increases the performances on WN18RR for about 20 percent, and increases those on FB15K-237 for about 6 percent. People may refer to our presentation "EARDict_refinement" posted on github.com/ucsd-cmi/eardict for a detailed comparison between v2 and v3. We also revise our expressions a lot in v3 

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Preserving the Hypernym Tree of WordNet in Dense Embeddings


Apr 22, 2020
Canlin Zhang, Xiuwen Liu


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An Analysis on the Learning Rules of the Skip-Gram Model


Mar 18, 2020
Canlin Zhang, Xiuwen Liu, Daniel Bis

* The 2019 International Joint Conference on Neural Networks (IJCNN) 
* Published on the 2019 International Joint Conference on Neural Networks 

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Towards Quantifying Intrinsic Generalization of Deep ReLU Networks


Oct 18, 2019
Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio

* 11 pages, 9 figures 

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