Changes
On December 16, 2024 at 7:47:17 PM UTC,
-
Changed value of field
doi_status
toTrue
in Cora, Citeseer, PubMed, Computers, Chameleon, Cornell, Squirrel, Texas -
Changed value of field
doi_date_published
to2024-12-16
in Cora, Citeseer, PubMed, Computers, Chameleon, Cornell, Squirrel, Texas -
Added resource Original Metadata to Cora, Citeseer, PubMed, Computers, Chameleon, Cornell, Squirrel, Texas
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2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Wendi Yu", | 3 | "author": "Wendi Yu", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
7 | "defined_in": "https://doi.org/10.48550/arXiv.2307.07956", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2307.07956", | ||
8 | "doi": "10.57702/z3ugrgxt", | 8 | "doi": "10.57702/z3ugrgxt", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-16", |
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": "Zhichao Hou", | 15 | "extra_author": "Zhichao Hou", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Xiaorui Liu", | 19 | "extra_author": "Xiaorui Liu", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | } | 21 | } | ||
22 | ], | 22 | ], | ||
23 | "groups": [ | 23 | "groups": [ | ||
24 | { | 24 | { | ||
25 | "description": "", | 25 | "description": "", | ||
26 | "display_name": "Graph Neural Networks", | 26 | "display_name": "Graph Neural Networks", | ||
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28 | "image_display_url": "", | 28 | "image_display_url": "", | ||
29 | "name": "graph-neural-networks", | 29 | "name": "graph-neural-networks", | ||
30 | "title": "Graph Neural Networks" | 30 | "title": "Graph Neural Networks" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Node Classification", | 34 | "display_name": "Node Classification", | ||
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36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "node-classification", | 37 | "name": "node-classification", | ||
38 | "title": "Node Classification" | 38 | "title": "Node Classification" | ||
39 | } | 39 | } | ||
40 | ], | 40 | ], | ||
41 | "id": "85f29262-34d1-4e2e-a954-10d32f3b7f63", | 41 | "id": "85f29262-34d1-4e2e-a954-10d32f3b7f63", | ||
42 | "isopen": false, | 42 | "isopen": false, | ||
43 | "landing_page": "https://arxiv.org/abs/2106.09548", | 43 | "landing_page": "https://arxiv.org/abs/2106.09548", | ||
44 | "license_title": null, | 44 | "license_title": null, | ||
45 | "link_orkg": "", | 45 | "link_orkg": "", | ||
46 | "metadata_created": "2024-12-16T19:47:16.069387", | 46 | "metadata_created": "2024-12-16T19:47:16.069387", | ||
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49 | ra--citeseer--pubmed--computers--chameleon--cornell--squirrel--texas", | 49 | ra--citeseer--pubmed--computers--chameleon--cornell--squirrel--texas", | ||
50 | "notes": "The dataset used in the paper is a collection of | 50 | "notes": "The dataset used in the paper is a collection of | ||
51 | real-world benchmark datasets for node classification.", | 51 | real-world benchmark datasets for node classification.", | ||
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53 | "num_tags": 4, | 53 | "num_tags": 4, | ||
54 | "organization": { | 54 | "organization": { | ||
55 | "approval_status": "approved", | 55 | "approval_status": "approved", | ||
56 | "created": "2024-11-25T12:11:38.292601", | 56 | "created": "2024-11-25T12:11:38.292601", | ||
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62 | "state": "active", | 62 | "state": "active", | ||
63 | "title": "No Organization", | 63 | "title": "No Organization", | ||
64 | "type": "organization" | 64 | "type": "organization" | ||
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69 | "relationships_as_subject": [], | 69 | "relationships_as_subject": [], | ||
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89 | "mls:task", | ||||
90 | "datacite:isDescribedBy" | ||||
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92 | "description": "The json representation of the dataset with its | ||||
93 | distributions based on DCAT.", | ||||
94 | "format": "JSON", | ||||
95 | "hash": "", | ||||
96 | "id": "4ecf80a1-1828-48db-9df5-189df9f34d7d", | ||||
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72 | "state": "active", | 113 | "state": "active", | ||
73 | "tags": [ | 114 | "tags": [ | ||
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75 | "display_name": "Graph Neural Networks", | 116 | "display_name": "Graph Neural Networks", | ||
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84 | "name": "Heterophilic Graphs", | 125 | "name": "Heterophilic Graphs", | ||
85 | "state": "active", | 126 | "state": "active", | ||
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92 | "state": "active", | 133 | "state": "active", | ||
93 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
94 | }, | 135 | }, | ||
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96 | "display_name": "Node Classification", | 137 | "display_name": "Node Classification", | ||
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103 | "title": "Cora, Citeseer, PubMed, Computers, Chameleon, Cornell, | 144 | "title": "Cora, Citeseer, PubMed, Computers, Chameleon, Cornell, | ||
104 | Squirrel, Texas", | 145 | Squirrel, Texas", | ||
105 | "type": "dataset", | 146 | "type": "dataset", | ||
106 | "version": "" | 147 | "version": "" | ||
107 | } | 148 | } |