Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks | Paper Citation Record

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This paper cites https://developers.google.com/freebase/.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks https://developers.google.com/freebase/

Reference 1

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This paper cites Battaglia, R.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Battaglia, R

Reference 2

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This paper cites Laplacian eigenmaps and spectral techniques for embedding and clustering.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Laplacian eigenmaps and spectral techniques for embedding and clustering

Reference 3

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This paper cites Variational inference: A review for statisti- cians.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Variational inference: A review for statisti- cians

Reference 4

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This paper cites Translating embeddings for modeling multi-relational data.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Translating embeddings for modeling multi-relational data

Reference 5

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This paper cites Kullback-leibler information as a basis for strong inference in ecological studies.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Kullback-leibler information as a basis for strong inference in ecological studies

Reference 6

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This paper cites A comprehensive survey of graph embedding: problems, techniques and applications.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks A comprehensive survey of graph embedding: problems, techniques and applications

Reference 7

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This paper cites Grarep: Learning graph representations with global structural information.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Grarep: Learning graph representations with global structural information

Reference 8

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This paper cites A survey on network embedding.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks A survey on network embedding

Reference 9

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This paper cites Convolutional 2d knowledge graph embeddings.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Convolutional 2d knowledge graph embeddings

Reference 10

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Unresolved cited work

Reference 11

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This paper cites Markov chain Monte Carlo in practice.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Markov chain Monte Carlo in practice

Reference 12

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This paper cites node2vec: Scalable feature learning for networks.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks node2vec: Scalable feature learning for networks

Reference 13

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This paper cites Hamaguchi, H.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Hamaguchi, H

Reference 14

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This paper cites Hamilton, Zhitao Ying, and Jure Leskovec.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Hamilton, Zhitao Ying, and Jure Leskovec

Reference 15

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This paper cites Openke: An open toolkit for knowledge embedding.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Openke: An open toolkit for knowledge embedding

Reference 16

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This paper cites Elbo surgery: yet another way to carve up the variational evidence lower bound.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Elbo surgery: yet another way to carve up the variational evidence lower bound

Reference 17

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This paper cites Knowledge graph embedding via dynamic mapping matrix.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Knowledge graph embedding via dynamic mapping matrix

Reference 18

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This paper cites Billion-scale similarity search with GPUs.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Billion-scale similarity search with GPUs

Reference 19

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This paper cites Learning combinatorial optimization algorithms over graphs.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Learning combinatorial optimization algorithms over graphs

Reference 20

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This paper cites Adam: A Method for Stochastic Optimization.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Adam: A Method for Stochastic Optimization

Reference 21

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This paper cites Auto-Encoding Variational Bayes.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Auto-Encoding Variational Bayes

Reference 22

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This paper cites Kipf and Max Welling.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Kipf and Max Welling

Reference 23

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This paper cites The local rademacher complexity of lp-norm multiple kernel learning.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks The local rademacher complexity of lp-norm multiple kernel learning

Reference 24

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This paper cites Distributed representations of sentences and documents.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Distributed representations of sentences and documents

Reference 25

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This paper cites Learning entity and relation embeddings for knowledge graph completion.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Learning entity and relation embeddings for knowledge graph completion

Reference 26

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This paper cites Learning entity and relation embeddings for knowledge graph completion.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Learning entity and relation embeddings for knowledge graph completion

Reference 27

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This paper cites Rectiﬁed linear units improve restricted boltzmann machines.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Rectiﬁed linear units improve restricted boltzmann machines

Reference 28

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This paper cites A view of the em algorithm that justiﬁes incremental, sparse, and other variants.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks A view of the em algorithm that justiﬁes incremental, sparse, and other variants

Reference 29

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Stranse: a novel embedding model of entities and relationships in knowledge bases

Reference 30

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Asymmetric transitivity pre- serving graph embedding

Reference 31

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Unsupervised Learning of Sentence Embed- dings using Compositional n-Gram Features

Reference 32

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Variational Bayesian Inference with Stochastic Search

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This paper cites Deepwalk: Online learning of social representa- tions.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Deepwalk: Online learning of social representa- tions

Reference 34

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks An attention-based collaboration framework for multi-view network representation learning

Reference 35

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This paper cites Graph networks as learnable physics engines for inference and control.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Graph networks as learnable physics engines for inference and control

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks mvn2vec: Preservation and Collaboration in Multi-View Network Embedding

Reference 37

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Reasoning with neural tensor networks for knowledge base completion

Reference 38

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Line: Large-scale information network embedding

Reference 39

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This paper cites Relational learning via latent social dimensions.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Relational learning via latent social dimensions

Reference 40

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Graph Attention Networks

Reference 41

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This paper cites Knowledge graph embedding by translating on hyperplanes.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Knowledge graph embedding by translating on hyperplanes

Reference 42

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This paper cites Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs

Reference 43

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This paper cites Representation learning of knowledge graphs with entity descriptions.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Representation learning of knowledge graphs with entity descriptions

Reference 44

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This paper cites Network representation learning with rich text information.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Network representation learning with rich text information

Reference 45

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This paper cites Fast network embedding enhancement via high order proximity approximation.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Fast network embedding enhancement via high order proximity approximation

Reference 46

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This paper cites Bayesian co-training.Jour- nal of Machine Learning Research , 12(Sep):2649–2680, 2011.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Bayesian co-training.Jour- nal of Machine Learning Research , 12(Sep):2649–2680, 2011

Reference 47

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This paper cites Multiview metric learn- ing with global consistency and local smoothness.

Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks Multiview metric learn- ing with global consistency and local smoothness

Reference 48

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