From communities to interpretable network and word embedding: an unified approach | Paper Citation Record

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From communities to interpretable network and word embedding: an unified approach & Poesio, M

Reference 1

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From communities to interpretable network and word embedding: an unified approach & Kruszewski, G

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From communities to interpretable network and word embedding: an unified approach & Lenci, A

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From communities to interpretable network and word embedding: an unified approach & Niyogi, P

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This paper cites K., Meneni, K., Danisch, M., Guillaume, J.-L.

From communities to interpretable network and word embedding: an unified approach K., Meneni, K., Danisch, M., Guillaume, J.-L

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From communities to interpretable network and word embedding: an unified approach Fast unfolding of communities in large networks

Reference 6

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From communities to interpretable network and word embedding: an unified approach & Rosvall, M

Reference 7

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From communities to interpretable network and word embedding: an unified approach & Mikolov, T

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From communities to interpretable network and word embedding: an unified approach & Page, L

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From communities to interpretable network and word embedding: an unified approach Global Vectors for Node Representations

Reference 10

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A

Reference 12

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach & Park, N

Reference 16

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From communities to interpretable network and word embedding: an unified approach & Blei, D

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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This paper cites A Survey on Fairness for Machine Learning on Graphs.

From communities to interpretable network and word embedding: an unified approach A Survey on Fairness for Machine Learning on Graphs

Reference 19

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This paper cites (2007) British National Corpus, XML edition.

From communities to interpretable network and word embedding: an unified approach (2007) British National Corpus, XML edition

Reference 20

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From communities to interpretable network and word embedding: an unified approach & Lenca, P

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From communities to interpretable network and word embedding: an unified approach & Toutanova, K

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From communities to interpretable network and word embedding: an unified approach & Perez, A

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From communities to interpretable network and word embedding: an unified approach T., Nguyen, Q

Reference 24

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From communities to interpretable network and word embedding: an unified approach & Ordman, E

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This paper cites Data & Description : http://wordspace.collocations.de/doku.php/data:esslli2008:start.

From communities to interpretable network and word embedding: an unified approach Data & Description : http://wordspace.collocations.de/doku.php/data:esslli2008:start

Reference 26

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From communities to interpretable network and word embedding: an unified approach & Smith, N

Reference 27

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From communities to interpretable network and word embedding: an unified approach & Ruppin, E

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From communities to interpretable network and word embedding: an unified approach & Barth´elemy, M

Reference 29

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From communities to interpretable network and word embedding: an unified approach & Zou, J

Reference 30

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From communities to interpretable network and word embedding: an unified approach A., McClure, D., Glorieux, F., Reboul, M., Porter, J

Reference 31

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From communities to interpretable network and word embedding: an unified approach & Newman, M

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From communities to interpretable network and word embedding: an unified approach node2vec: Scalable Feature Learning for Networks

Reference 33

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From communities to interpretable network and word embedding: an unified approach & Latapy, M

Reference 34

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From communities to interpretable network and word embedding: an unified approach L., Leskovec, J

Reference 35

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach H., Socher, R., Manning, C

Reference 37

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From communities to interpretable network and word embedding: an unified approach & Johnson, K

Reference 38

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From communities to interpretable network and word embedding: an unified approach (2013) Multi-scale modularity and dynamics in complex networks

Reference 39

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From communities to interpretable network and word embedding: an unified approach & Kert ´esz, J

Reference 40

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From communities to interpretable network and word embedding: an unified approach & Fortunato, S

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach & Inouye, M

Reference 43

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From communities to interpretable network and word embedding: an unified approach H., Newman, D

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From communities to interpretable network and word embedding: an unified approach & Cunningham, P

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach & Goldberg, Y

Reference 47

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From communities to interpretable network and word embedding: an unified approach & Dagan, I

Reference 48

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 50

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach & Subelj, L

Reference 52

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From communities to interpretable network and word embedding: an unified approach Efficient Estimation of Word Representations in Vector Space

Reference 53

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach Unresolved cited work

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From communities to interpretable network and word embedding: an unified approach Text and Code Embeddings by Contrastive Pre-Training

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From communities to interpretable network and word embedding: an unified approach & Fort, K

Reference 58

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From communities to interpretable network and word embedding: an unified approach E., Suci, G

Reference 59

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From communities to interpretable network and word embedding: an unified approach & Zhu, W

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From communities to interpretable network and word embedding: an unified approach Carbon Emissions and Large Neural Network Training

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From communities to interpretable network and word embedding: an unified approach & Manning, C

Reference 65

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From communities to interpretable network and word embedding: an unified approach & Skiena, S

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Reference 68

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From communities to interpretable network and word embedding: an unified approach & Meignier, S

Reference 69

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Reference 70

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From communities to interpretable network and word embedding: an unified approach Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 71

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From communities to interpretable network and word embedding: an unified approach Near linear time algorithm to detect community structures in large-scale networks

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Reference 73

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From communities to interpretable network and word embedding: an unified approach & Sutton, C

Reference 75

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From communities to interpretable network and word embedding: an unified approach & Goodenough, J

Reference 76

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This paper cites (2019) Stop explaining black box machine learning models for high stakes decisions and use inter- pretable models instead.

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Reference 77

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From communities to interpretable network and word embedding: an unified approach & Yao, X

Reference 78

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From communities to interpretable network and word embedding: an unified approach & Malik, J

Reference 79

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From communities to interpretable network and word embedding: an unified approach & Vaudaine, R

Reference 80

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Reference 81

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From communities to interpretable network and word embedding: an unified approach & McCallum, A

Reference 82

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From communities to interpretable network and word embedding: an unified approach & Hovy, E

Reference 83

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From communities to interpretable network and word embedding: an unified approach & Mei, Q

Reference 84

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From communities to interpretable network and word embedding: an unified approach B., Silva, V

Reference 85

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From communities to interpretable network and word embedding: an unified approach & Liu, T.-Y

Reference 86

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From communities to interpretable network and word embedding: an unified approach VERSE: Versatile Graph Embeddings from Similarity Measures

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:11:31.023871Z

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Observation 65e336a6-9036-4190-a5fb-05c3fb6c315f · outbound

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From communities to interpretable network and word embedding: an unified approach & Zhu, W

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:11:31.321111Z

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From communities to interpretable network and word embedding: an unified approach & Yang, S

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:11:31.304755Z

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From communities to interpretable network and word embedding: an unified approach & Chang, E

Reference 90

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