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Unified Interpretation of Smoothing Methods for Negative Sampling Loss
  Functions in Knowledge Graph Embedding

Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding

5 July 2024
Xincan Feng
Hidetaka Kamigaito
Katsuhiko Hayashi
Taro Watanabe
ArXiv (abs)PDFHTML

Papers citing "Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding"

11 / 11 papers shown
Title
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning
  Benchmark for Expert AGI
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Xiang Yue
Yuansheng Ni
Kai Zhang
Tianyu Zheng
Ruoqi Liu
...
Yibo Liu
Wenhao Huang
Huan Sun
Yu-Chuan Su
Wenhu Chen
OSLMELMVLM
246
957
0
27 Nov 2023
From Discrimination to Generation: Knowledge Graph Completion with
  Generative Transformer
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer
Xin Xie
Ningyu Zhang
Zhoubo Li
Shumin Deng
Hui Chen
Feiyu Xiong
Mosha Chen
Huajun Chen
61
96
0
04 Feb 2022
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling:
  With Case Study for Knowledge Graph Embedding
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
Hidetaka Kamigaito
Katsuhiko Hayashi
54
11
0
14 Jun 2021
Pre-Training Transformers as Energy-Based Cloze Models
Pre-Training Transformers as Energy-Based Cloze Models
Kevin Clark
Minh-Thang Luong
Quoc V. Le
Christopher D. Manning
61
80
0
15 Dec 2020
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang
Jianyu Cai
Yongdong Zhang
Jie Wang
92
392
0
21 Nov 2019
K-BERT: Enabling Language Representation with Knowledge Graph
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu
Peng Zhou
Zhe Zhao
Zhiruo Wang
Qi Ju
Haotang Deng
Ping Wang
307
793
0
17 Sep 2019
A Simple Language Model based on PMI Matrix Approximations
A Simple Language Model based on PMI Matrix Approximations
Oren Melamud
Ido Dagan
Jacob Goldberger
29
11
0
17 Jul 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN3DV
191
2,629
0
05 Jul 2017
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,412
0
02 Dec 2015
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
95
3,203
0
20 Dec 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
402
33,560
0
16 Oct 2013
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