Changes
On December 2, 2024 at 9:37:11 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Meta-GraphSHS Dataset -
Changed value of field
doi_date_published
to2024-12-02
in Meta-GraphSHS Dataset -
Added resource Original Metadata to Meta-GraphSHS Dataset
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3 | "author": "Diksha Goel", | 3 | "author": "Diksha Goel", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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7 | "defined_in": "https://doi.org/10.48550/arXiv.2310.10667", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2310.10667", | ||
8 | "doi": "10.57702/0ypj77pv", | 8 | "doi": "10.57702/0ypj77pv", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
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12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Mingyu Guo", | 15 | "extra_author": "Mingyu Guo", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Hong Shen", | 19 | "extra_author": "Hong Shen", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Hui Tian", | 23 | "extra_author": "Hui Tian", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Aneta Neumann", | 27 | "extra_author": "Aneta Neumann", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Frank Neumann", | 31 | "extra_author": "Frank Neumann", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Hung Nguyen", | 35 | "extra_author": "Hung Nguyen", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | } | 37 | } | ||
38 | ], | 38 | ], | ||
39 | "groups": [ | 39 | "groups": [ | ||
40 | { | 40 | { | ||
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42 | "display_name": "Graph Neural Networks", | 42 | "display_name": "Graph Neural Networks", | ||
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44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "graph-neural-networks", | 45 | "name": "graph-neural-networks", | ||
46 | "title": "Graph Neural Networks" | 46 | "title": "Graph Neural Networks" | ||
47 | }, | 47 | }, | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Meta-Learning", | 50 | "display_name": "Meta-Learning", | ||
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52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "meta-learning", | 53 | "name": "meta-learning", | ||
54 | "title": "Meta-Learning" | 54 | "title": "Meta-Learning" | ||
55 | }, | 55 | }, | ||
56 | { | 56 | { | ||
57 | "description": "", | 57 | "description": "", | ||
58 | "display_name": "Structural Hole Spanners", | 58 | "display_name": "Structural Hole Spanners", | ||
59 | "id": "304af687-22c3-47ff-918a-63616a69db38", | 59 | "id": "304af687-22c3-47ff-918a-63616a69db38", | ||
60 | "image_display_url": "", | 60 | "image_display_url": "", | ||
61 | "name": "structural-hole-spanners", | 61 | "name": "structural-hole-spanners", | ||
62 | "title": "Structural Hole Spanners" | 62 | "title": "Structural Hole Spanners" | ||
63 | } | 63 | } | ||
64 | ], | 64 | ], | ||
65 | "id": "a31bb60b-1248-4430-bb2f-671e8f0731cb", | 65 | "id": "a31bb60b-1248-4430-bb2f-671e8f0731cb", | ||
66 | "isopen": false, | 66 | "isopen": false, | ||
67 | "landing_page": "https://doi.org/10.1109/TNNLS.2020.2978386", | 67 | "landing_page": "https://doi.org/10.1109/TNNLS.2020.2978386", | ||
68 | "license_title": null, | 68 | "license_title": null, | ||
69 | "link_orkg": "", | 69 | "link_orkg": "", | ||
70 | "metadata_created": "2024-12-02T21:37:09.433154", | 70 | "metadata_created": "2024-12-02T21:37:09.433154", | ||
n | 71 | "metadata_modified": "2024-12-02T21:37:09.433159", | n | 71 | "metadata_modified": "2024-12-02T21:37:10.063400", |
72 | "name": "meta-graphshs-dataset", | 72 | "name": "meta-graphshs-dataset", | ||
73 | "notes": "This dataset is used to evaluate the performance of the | 73 | "notes": "This dataset is used to evaluate the performance of the | ||
74 | proposed Meta-GraphSHS model for discovering structural hole spanners | 74 | proposed Meta-GraphSHS model for discovering structural hole spanners | ||
75 | in diverse networks.", | 75 | in diverse networks.", | ||
n | 76 | "num_resources": 0, | n | 76 | "num_resources": 1, |
77 | "num_tags": 4, | 77 | "num_tags": 4, | ||
78 | "organization": { | 78 | "organization": { | ||
79 | "approval_status": "approved", | 79 | "approval_status": "approved", | ||
80 | "created": "2024-11-25T12:11:38.292601", | 80 | "created": "2024-11-25T12:11:38.292601", | ||
81 | "description": "", | 81 | "description": "", | ||
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83 | "image_url": "", | 83 | "image_url": "", | ||
84 | "is_organization": true, | 84 | "is_organization": true, | ||
85 | "name": "no-organization", | 85 | "name": "no-organization", | ||
86 | "state": "active", | 86 | "state": "active", | ||
87 | "title": "No Organization", | 87 | "title": "No Organization", | ||
88 | "type": "organization" | 88 | "type": "organization" | ||
89 | }, | 89 | }, | ||
90 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 90 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
91 | "private": false, | 91 | "private": false, | ||
92 | "relationships_as_object": [], | 92 | "relationships_as_object": [], | ||
93 | "relationships_as_subject": [], | 93 | "relationships_as_subject": [], | ||
t | 94 | "resources": [], | t | 94 | "resources": [ |
95 | { | ||||
96 | "cache_last_updated": null, | ||||
97 | "cache_url": null, | ||||
98 | "created": "2024-12-02T22:29:38", | ||||
99 | "data": [ | ||||
100 | "dcterms:title", | ||||
101 | "dcterms:accessRights", | ||||
102 | "dcterms:creator", | ||||
103 | "dcterms:description", | ||||
104 | "dcterms:issued", | ||||
105 | "dcterms:language", | ||||
106 | "dcterms:identifier", | ||||
107 | "dcat:theme", | ||||
108 | "dcterms:type", | ||||
109 | "dcat:keyword", | ||||
110 | "dcat:landingPage", | ||||
111 | "dcterms:hasVersion", | ||||
112 | "dcterms:format", | ||||
113 | "mls:task", | ||||
114 | "datacite:isDescribedBy" | ||||
115 | ], | ||||
116 | "description": "The json representation of the dataset with its | ||||
117 | distributions based on DCAT.", | ||||
118 | "format": "JSON", | ||||
119 | "hash": "", | ||||
120 | "id": "38044354-7536-419d-8f83-163ffe91436d", | ||||
121 | "last_modified": "2024-12-02T21:37:10.056020", | ||||
122 | "metadata_modified": "2024-12-02T21:37:10.066224", | ||||
123 | "mimetype": "application/json", | ||||
124 | "mimetype_inner": null, | ||||
125 | "name": "Original Metadata", | ||||
126 | "package_id": "a31bb60b-1248-4430-bb2f-671e8f0731cb", | ||||
127 | "position": 0, | ||||
128 | "resource_type": null, | ||||
129 | "size": 974, | ||||
130 | "state": "active", | ||||
131 | "url": | ||||
132 | resource/38044354-7536-419d-8f83-163ffe91436d/download/metadata.json", | ||||
133 | "url_type": "upload" | ||||
134 | } | ||||
135 | ], | ||||
95 | "services_used_list": "", | 136 | "services_used_list": "", | ||
96 | "state": "active", | 137 | "state": "active", | ||
97 | "tags": [ | 138 | "tags": [ | ||
98 | { | 139 | { | ||
99 | "display_name": "Diverse Networks", | 140 | "display_name": "Diverse Networks", | ||
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102 | "state": "active", | 143 | "state": "active", | ||
103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | }, | 145 | }, | ||
105 | { | 146 | { | ||
106 | "display_name": "Graph Neural Networks", | 147 | "display_name": "Graph Neural Networks", | ||
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109 | "state": "active", | 150 | "state": "active", | ||
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117 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
118 | }, | 159 | }, | ||
119 | { | 160 | { | ||
120 | "display_name": "Structural Hole Spanners", | 161 | "display_name": "Structural Hole Spanners", | ||
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122 | "name": "Structural Hole Spanners", | 163 | "name": "Structural Hole Spanners", | ||
123 | "state": "active", | 164 | "state": "active", | ||
124 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
125 | } | 166 | } | ||
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127 | "title": "Meta-GraphSHS Dataset", | 168 | "title": "Meta-GraphSHS Dataset", | ||
128 | "type": "dataset", | 169 | "type": "dataset", | ||
129 | "version": "" | 170 | "version": "" | ||
130 | } | 171 | } |