Changes
On December 3, 2024 at 9:51:11 AM UTC,
-
Changed value of field
doi_status
toTrue
in G2P xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns -
Changed value of field
doi_date_published
to2024-12-03
in G2P xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns -
Added resource Original Metadata to G2P xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Qin Zhang", | 3 | "author": "Qin Zhang", | ||
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.2308.05463", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2308.05463", | ||
8 | "doi": "10.57702/qunh8rqf", | 8 | "doi": "10.57702/qunh8rqf", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-03", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 11 | "doi_status": true, |
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": "Zelin Shi", | 15 | "extra_author": "Zelin Shi", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Xiaolin Zhang", | 19 | "extra_author": "Xiaolin Zhang", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Xiaojun Chen", | 23 | "extra_author": "Xiaojun Chen", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Philippe Fournier-Viger", | 27 | "extra_author": "Philippe Fournier-Viger", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Shirui Pan", | 31 | "extra_author": "Shirui Pan", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "groups": [ | 35 | "groups": [ | ||
36 | { | 36 | { | ||
37 | "description": "", | 37 | "description": "", | ||
38 | "display_name": "Graphs", | 38 | "display_name": "Graphs", | ||
39 | "id": "7c42917e-4aa5-4b53-8227-78a0a35d7078", | 39 | "id": "7c42917e-4aa5-4b53-8227-78a0a35d7078", | ||
40 | "image_display_url": "", | 40 | "image_display_url": "", | ||
41 | "name": "graphs", | 41 | "name": "graphs", | ||
42 | "title": "Graphs" | 42 | "title": "Graphs" | ||
43 | }, | 43 | }, | ||
44 | { | 44 | { | ||
45 | "description": "", | 45 | "description": "", | ||
46 | "display_name": "Node Classification", | 46 | "display_name": "Node Classification", | ||
47 | "id": "69ff6af8-791f-4ae2-ab00-16af4a89bd6b", | 47 | "id": "69ff6af8-791f-4ae2-ab00-16af4a89bd6b", | ||
48 | "image_display_url": "", | 48 | "image_display_url": "", | ||
49 | "name": "node-classification", | 49 | "name": "node-classification", | ||
50 | "title": "Node Classification" | 50 | "title": "Node Classification" | ||
51 | }, | 51 | }, | ||
52 | { | 52 | { | ||
53 | "description": "", | 53 | "description": "", | ||
54 | "display_name": "Open-Set Classification", | 54 | "display_name": "Open-Set Classification", | ||
55 | "id": "bb946f86-1554-41d9-b61f-32678891d74f", | 55 | "id": "bb946f86-1554-41d9-b61f-32678891d74f", | ||
56 | "image_display_url": "", | 56 | "image_display_url": "", | ||
57 | "name": "open-set-classification", | 57 | "name": "open-set-classification", | ||
58 | "title": "Open-Set Classification" | 58 | "title": "Open-Set Classification" | ||
59 | } | 59 | } | ||
60 | ], | 60 | ], | ||
61 | "id": "ef1685cd-87bd-41b1-86bc-62a5f5295d37", | 61 | "id": "ef1685cd-87bd-41b1-86bc-62a5f5295d37", | ||
62 | "isopen": false, | 62 | "isopen": false, | ||
63 | "landing_page": "", | 63 | "landing_page": "", | ||
64 | "license_title": null, | 64 | "license_title": null, | ||
65 | "link_orkg": "", | 65 | "link_orkg": "", | ||
66 | "metadata_created": "2024-12-03T09:51:10.287564", | 66 | "metadata_created": "2024-12-03T09:51:10.287564", | ||
n | 67 | "metadata_modified": "2024-12-03T09:51:10.287570", | n | 67 | "metadata_modified": "2024-12-03T09:51:10.631128", |
68 | "name": | 68 | "name": | ||
69 | enerative-open-set-node-classification-on-graphs-with-proxy-unknowns", | 69 | enerative-open-set-node-classification-on-graphs-with-proxy-unknowns", | ||
70 | "notes": "Node classification is the task of predicting the labels | 70 | "notes": "Node classification is the task of predicting the labels | ||
71 | of unlabeled nodes in a graph. State-of-the-art methods based on graph | 71 | of unlabeled nodes in a graph. State-of-the-art methods based on graph | ||
72 | neural networks achieve excellent performance when all labels are | 72 | neural networks achieve excellent performance when all labels are | ||
73 | available during training. But in real-life, models are often applied | 73 | available during training. But in real-life, models are often applied | ||
74 | on data with new classes, which can lead to massive misclassification | 74 | on data with new classes, which can lead to massive misclassification | ||
75 | and thus significantly degrade performance.", | 75 | and thus significantly degrade performance.", | ||
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": "", | ||
82 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 82 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
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": "2024-12-03T10:49:30", | ||||
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": "c9d01922-443d-415e-815e-ed8324180ce6", | ||||
121 | "last_modified": "2024-12-03T09:51:10.623179", | ||||
122 | "metadata_modified": "2024-12-03T09:51:10.633839", | ||||
123 | "mimetype": "application/json", | ||||
124 | "mimetype_inner": null, | ||||
125 | "name": "Original Metadata", | ||||
126 | "package_id": "ef1685cd-87bd-41b1-86bc-62a5f5295d37", | ||||
127 | "position": 0, | ||||
128 | "resource_type": null, | ||||
129 | "size": 1147, | ||||
130 | "state": "active", | ||||
131 | "url": | ||||
132 | resource/c9d01922-443d-415e-815e-ed8324180ce6/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": "Graph Neural Networks", | 140 | "display_name": "Graph Neural Networks", | ||
100 | "id": "8c619694-1a66-4a7d-bcda-bb2d6265d082", | 141 | "id": "8c619694-1a66-4a7d-bcda-bb2d6265d082", | ||
101 | "name": "Graph Neural Networks", | 142 | "name": "Graph Neural Networks", | ||
102 | "state": "active", | 143 | "state": "active", | ||
103 | "vocabulary_id": null | 144 | "vocabulary_id": null | ||
104 | }, | 145 | }, | ||
105 | { | 146 | { | ||
106 | "display_name": "Node Classification", | 147 | "display_name": "Node Classification", | ||
107 | "id": "1eec1928-5e8f-4f6d-8653-44f6362c4676", | 148 | "id": "1eec1928-5e8f-4f6d-8653-44f6362c4676", | ||
108 | "name": "Node Classification", | 149 | "name": "Node Classification", | ||
109 | "state": "active", | 150 | "state": "active", | ||
110 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
111 | }, | 152 | }, | ||
112 | { | 153 | { | ||
113 | "display_name": "Open-Set Classification", | 154 | "display_name": "Open-Set Classification", | ||
114 | "id": "c303481b-83c3-43dc-bff0-589d5a782b75", | 155 | "id": "c303481b-83c3-43dc-bff0-589d5a782b75", | ||
115 | "name": "Open-Set Classification", | 156 | "name": "Open-Set Classification", | ||
116 | "state": "active", | 157 | "state": "active", | ||
117 | "vocabulary_id": null | 158 | "vocabulary_id": null | ||
118 | }, | 159 | }, | ||
119 | { | 160 | { | ||
120 | "display_name": "Proxy Unknowns", | 161 | "display_name": "Proxy Unknowns", | ||
121 | "id": "0902fa72-c173-4970-b62f-08d3b92632a3", | 162 | "id": "0902fa72-c173-4970-b62f-08d3b92632a3", | ||
122 | "name": "Proxy Unknowns", | 163 | "name": "Proxy Unknowns", | ||
123 | "state": "active", | 164 | "state": "active", | ||
124 | "vocabulary_id": null | 165 | "vocabulary_id": null | ||
125 | } | 166 | } | ||
126 | ], | 167 | ], | ||
127 | "title": "G2P xy: Generative Open-Set Node Classification on Graphs | 168 | "title": "G2P xy: Generative Open-Set Node Classification on Graphs | ||
128 | with Proxy Unknowns", | 169 | with Proxy Unknowns", | ||
129 | "type": "dataset", | 170 | "type": "dataset", | ||
130 | "version": "" | 171 | "version": "" | ||
131 | } | 172 | } |