Changes
On December 2, 2024 at 6:01:41 PM UTC,
-
Added resource Original Metadata to ACM
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Yaming Yang", | 3 | "author": "Yaming Yang", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.1109/TNNLS.2022.3210370", | 6 | "https://doi.org/10.1109/TNNLS.2022.3210370", | ||
7 | "https://doi.org/10.48550/arXiv.2212.00024", | 7 | "https://doi.org/10.48550/arXiv.2212.00024", | ||
8 | "https://doi.org/10.1109/TKDE.2021.3101356", | 8 | "https://doi.org/10.1109/TKDE.2021.3101356", | ||
9 | "https://doi.org/10.3390/e24020276", | 9 | "https://doi.org/10.3390/e24020276", | ||
10 | "https://doi.org/10.48550/arXiv.2210.03288" | 10 | "https://doi.org/10.48550/arXiv.2210.03288" | ||
11 | ], | 11 | ], | ||
12 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 12 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
13 | "defined_in": "https://doi.org/10.48550/arXiv.2107.02658", | 13 | "defined_in": "https://doi.org/10.48550/arXiv.2107.02658", | ||
14 | "doi": "10.57702/u1zw77gg", | 14 | "doi": "10.57702/u1zw77gg", | ||
15 | "doi_date_published": "2024-11-25", | 15 | "doi_date_published": "2024-11-25", | ||
16 | "doi_publisher": "TIB", | 16 | "doi_publisher": "TIB", | ||
17 | "doi_status": true, | 17 | "doi_status": true, | ||
18 | "domain": "https://service.tib.eu/ldmservice", | 18 | "domain": "https://service.tib.eu/ldmservice", | ||
19 | "extra_authors": [ | 19 | "extra_authors": [ | ||
20 | { | 20 | { | ||
21 | "extra_author": "Ziyu Guan", | 21 | "extra_author": "Ziyu Guan", | ||
22 | "orcid": "" | 22 | "orcid": "" | ||
23 | }, | 23 | }, | ||
24 | { | 24 | { | ||
25 | "extra_author": "Jianxin Li", | 25 | "extra_author": "Jianxin Li", | ||
26 | "orcid": "" | 26 | "orcid": "" | ||
27 | }, | 27 | }, | ||
28 | { | 28 | { | ||
29 | "extra_author": "Wei Zhao", | 29 | "extra_author": "Wei Zhao", | ||
30 | "orcid": "" | 30 | "orcid": "" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "extra_author": "Jiangtao Cui", | 33 | "extra_author": "Jiangtao Cui", | ||
34 | "orcid": "" | 34 | "orcid": "" | ||
35 | }, | 35 | }, | ||
36 | { | 36 | { | ||
37 | "extra_author": "Quan Wang", | 37 | "extra_author": "Quan Wang", | ||
38 | "orcid": "" | 38 | "orcid": "" | ||
39 | } | 39 | } | ||
40 | ], | 40 | ], | ||
41 | "groups": [ | 41 | "groups": [ | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "Academic Papers", | 44 | "display_name": "Academic Papers", | ||
45 | "id": "e70dce3e-69c7-40fe-a0a6-61df83b0f58d", | 45 | "id": "e70dce3e-69c7-40fe-a0a6-61df83b0f58d", | ||
46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "academic-papers", | 47 | "name": "academic-papers", | ||
48 | "title": "Academic Papers" | 48 | "title": "Academic Papers" | ||
49 | }, | 49 | }, | ||
50 | { | 50 | { | ||
51 | "description": "", | 51 | "description": "", | ||
52 | "display_name": "Citation Network", | 52 | "display_name": "Citation Network", | ||
53 | "id": "48c70842-d72d-41f8-9828-363038c64024", | 53 | "id": "48c70842-d72d-41f8-9828-363038c64024", | ||
54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
55 | "name": "citation-network", | 55 | "name": "citation-network", | ||
56 | "title": "Citation Network" | 56 | "title": "Citation Network" | ||
57 | }, | 57 | }, | ||
58 | { | 58 | { | ||
59 | "description": "", | 59 | "description": "", | ||
60 | "display_name": "Graph Clustering", | 60 | "display_name": "Graph Clustering", | ||
61 | "id": "dafaf0c6-20ec-46fb-8c0b-fd1a66f9e33f", | 61 | "id": "dafaf0c6-20ec-46fb-8c0b-fd1a66f9e33f", | ||
62 | "image_display_url": "", | 62 | "image_display_url": "", | ||
63 | "name": "graph-clustering", | 63 | "name": "graph-clustering", | ||
64 | "title": "Graph Clustering" | 64 | "title": "Graph Clustering" | ||
65 | }, | 65 | }, | ||
66 | { | 66 | { | ||
67 | "description": "", | 67 | "description": "", | ||
68 | "display_name": "Heterogeneous Graphs", | 68 | "display_name": "Heterogeneous Graphs", | ||
69 | "id": "2280e618-7143-4ec0-a991-7f362aa458a0", | 69 | "id": "2280e618-7143-4ec0-a991-7f362aa458a0", | ||
70 | "image_display_url": "", | 70 | "image_display_url": "", | ||
71 | "name": "heterogeneous-graphs", | 71 | "name": "heterogeneous-graphs", | ||
72 | "title": "Heterogeneous Graphs" | 72 | "title": "Heterogeneous Graphs" | ||
73 | }, | 73 | }, | ||
74 | { | 74 | { | ||
75 | "description": "", | 75 | "description": "", | ||
76 | "display_name": "Heterogeneous Information Network", | 76 | "display_name": "Heterogeneous Information Network", | ||
77 | "id": "be319f6d-dfe9-4a85-be30-bba0b66b7413", | 77 | "id": "be319f6d-dfe9-4a85-be30-bba0b66b7413", | ||
78 | "image_display_url": "", | 78 | "image_display_url": "", | ||
79 | "name": "heterogeneous-information-network", | 79 | "name": "heterogeneous-information-network", | ||
80 | "title": "Heterogeneous Information Network" | 80 | "title": "Heterogeneous Information Network" | ||
81 | }, | 81 | }, | ||
82 | { | 82 | { | ||
83 | "description": "", | 83 | "description": "", | ||
84 | "display_name": "Link Prediction", | 84 | "display_name": "Link Prediction", | ||
85 | "id": "084e1b51-e6c8-4e21-b58e-a2804f1dc8b7", | 85 | "id": "084e1b51-e6c8-4e21-b58e-a2804f1dc8b7", | ||
86 | "image_display_url": "", | 86 | "image_display_url": "", | ||
87 | "name": "link-prediction", | 87 | "name": "link-prediction", | ||
88 | "title": "Link Prediction" | 88 | "title": "Link Prediction" | ||
89 | }, | 89 | }, | ||
90 | { | 90 | { | ||
91 | "description": "", | 91 | "description": "", | ||
92 | "display_name": "Node Clustering", | 92 | "display_name": "Node Clustering", | ||
93 | "id": "1349b6f7-462f-44f7-8b20-cb4422919f70", | 93 | "id": "1349b6f7-462f-44f7-8b20-cb4422919f70", | ||
94 | "image_display_url": "", | 94 | "image_display_url": "", | ||
95 | "name": "node-clustering", | 95 | "name": "node-clustering", | ||
96 | "title": "Node Clustering" | 96 | "title": "Node Clustering" | ||
97 | }, | 97 | }, | ||
98 | { | 98 | { | ||
99 | "description": "", | 99 | "description": "", | ||
100 | "display_name": "Scientific Paper Classification", | 100 | "display_name": "Scientific Paper Classification", | ||
101 | "id": "7d07296d-4ded-4d93-a32b-f079d592913d", | 101 | "id": "7d07296d-4ded-4d93-a32b-f079d592913d", | ||
102 | "image_display_url": "", | 102 | "image_display_url": "", | ||
103 | "name": "scientific-paper-classification", | 103 | "name": "scientific-paper-classification", | ||
104 | "title": "Scientific Paper Classification" | 104 | "title": "Scientific Paper Classification" | ||
105 | }, | 105 | }, | ||
106 | { | 106 | { | ||
107 | "description": "", | 107 | "description": "", | ||
108 | "display_name": "Semi-supervised Learning", | 108 | "display_name": "Semi-supervised Learning", | ||
109 | "id": "a502d7ce-52ce-44ca-ba4b-871b69e5b9b8", | 109 | "id": "a502d7ce-52ce-44ca-ba4b-871b69e5b9b8", | ||
110 | "image_display_url": "", | 110 | "image_display_url": "", | ||
111 | "name": "semi-supervised-learning", | 111 | "name": "semi-supervised-learning", | ||
112 | "title": "Semi-supervised Learning" | 112 | "title": "Semi-supervised Learning" | ||
113 | } | 113 | } | ||
114 | ], | 114 | ], | ||
115 | "id": "39bc42ed-29f0-4953-9a46-a1348e3e5b0a", | 115 | "id": "39bc42ed-29f0-4953-9a46-a1348e3e5b0a", | ||
116 | "isopen": false, | 116 | "isopen": false, | ||
117 | "landing_page": "https://www.kdd.ics.uci.edu/datasets/ACM.html", | 117 | "landing_page": "https://www.kdd.ics.uci.edu/datasets/ACM.html", | ||
118 | "license_title": null, | 118 | "license_title": null, | ||
119 | "link_orkg": "", | 119 | "link_orkg": "", | ||
120 | "metadata_created": "2024-11-25T14:19:13.352008", | 120 | "metadata_created": "2024-11-25T14:19:13.352008", | ||
n | 121 | "metadata_modified": "2024-12-02T18:01:39.639038", | n | 121 | "metadata_modified": "2024-12-02T18:01:40.618725", |
122 | "name": "acm", | 122 | "name": "acm", | ||
123 | "notes": "The dataset used in the paper is a heterogeneous graph, | 123 | "notes": "The dataset used in the paper is a heterogeneous graph, | ||
124 | which is a graph that contains multiple types of nodes and edges. The | 124 | which is a graph that contains multiple types of nodes and edges. The | ||
125 | dataset is used for semi-supervised graph learning with multi-level | 125 | dataset is used for semi-supervised graph learning with multi-level | ||
126 | data augmentation.", | 126 | data augmentation.", | ||
n | 127 | "num_resources": 0, | n | 127 | "num_resources": 1, |
128 | "num_tags": 16, | 128 | "num_tags": 16, | ||
129 | "organization": { | 129 | "organization": { | ||
130 | "approval_status": "approved", | 130 | "approval_status": "approved", | ||
131 | "created": "2024-11-25T12:11:38.292601", | 131 | "created": "2024-11-25T12:11:38.292601", | ||
132 | "description": "", | 132 | "description": "", | ||
133 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 133 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
134 | "image_url": "", | 134 | "image_url": "", | ||
135 | "is_organization": true, | 135 | "is_organization": true, | ||
136 | "name": "no-organization", | 136 | "name": "no-organization", | ||
137 | "state": "active", | 137 | "state": "active", | ||
138 | "title": "No Organization", | 138 | "title": "No Organization", | ||
139 | "type": "organization" | 139 | "type": "organization" | ||
140 | }, | 140 | }, | ||
141 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 141 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
142 | "private": false, | 142 | "private": false, | ||
143 | "relationships_as_object": [], | 143 | "relationships_as_object": [], | ||
144 | "relationships_as_subject": [], | 144 | "relationships_as_subject": [], | ||
t | 145 | "resources": [], | t | 145 | "resources": [ |
146 | { | ||||
147 | "cache_last_updated": null, | ||||
148 | "cache_url": null, | ||||
149 | "created": "2024-12-02T18:38:42", | ||||
150 | "data": [ | ||||
151 | "dcterms:title", | ||||
152 | "dcterms:accessRights", | ||||
153 | "dcterms:creator", | ||||
154 | "dcterms:description", | ||||
155 | "dcterms:issued", | ||||
156 | "dcterms:language", | ||||
157 | "dcterms:identifier", | ||||
158 | "dcat:theme", | ||||
159 | "dcterms:type", | ||||
160 | "dcat:keyword", | ||||
161 | "dcat:landingPage", | ||||
162 | "dcterms:hasVersion", | ||||
163 | "dcterms:format", | ||||
164 | "mls:task", | ||||
165 | "datacite:isDescribedBy" | ||||
166 | ], | ||||
167 | "description": "The json representation of the dataset with its | ||||
168 | distributions based on DCAT.", | ||||
169 | "format": "JSON", | ||||
170 | "hash": "", | ||||
171 | "id": "7d36d895-1dd2-4553-afee-b80d23761b4f", | ||||
172 | "last_modified": "2024-12-02T18:01:40.608727", | ||||
173 | "metadata_modified": "2024-12-02T18:01:40.621673", | ||||
174 | "mimetype": "application/json", | ||||
175 | "mimetype_inner": null, | ||||
176 | "name": "Original Metadata", | ||||
177 | "package_id": "39bc42ed-29f0-4953-9a46-a1348e3e5b0a", | ||||
178 | "position": 0, | ||||
179 | "resource_type": null, | ||||
180 | "size": 1713, | ||||
181 | "state": "active", | ||||
182 | "url": | ||||
183 | resource/7d36d895-1dd2-4553-afee-b80d23761b4f/download/metadata.json", | ||||
184 | "url_type": "upload" | ||||
185 | } | ||||
186 | ], | ||||
146 | "services_used_list": "", | 187 | "services_used_list": "", | ||
147 | "state": "active", | 188 | "state": "active", | ||
148 | "tags": [ | 189 | "tags": [ | ||
149 | { | 190 | { | ||
150 | "display_name": "ACM", | 191 | "display_name": "ACM", | ||
151 | "id": "d7ac1631-2e12-4199-8800-36a308cd6faf", | 192 | "id": "d7ac1631-2e12-4199-8800-36a308cd6faf", | ||
152 | "name": "ACM", | 193 | "name": "ACM", | ||
153 | "state": "active", | 194 | "state": "active", | ||
154 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
155 | }, | 196 | }, | ||
156 | { | 197 | { | ||
157 | "display_name": "Academic Papers", | 198 | "display_name": "Academic Papers", | ||
158 | "id": "9348c8c7-bb4b-46e7-ac95-a939143a69a3", | 199 | "id": "9348c8c7-bb4b-46e7-ac95-a939143a69a3", | ||
159 | "name": "Academic Papers", | 200 | "name": "Academic Papers", | ||
160 | "state": "active", | 201 | "state": "active", | ||
161 | "vocabulary_id": null | 202 | "vocabulary_id": null | ||
162 | }, | 203 | }, | ||
163 | { | 204 | { | ||
164 | "display_name": "Citation Network", | 205 | "display_name": "Citation Network", | ||
165 | "id": "9de18bb3-50da-43d2-a900-34eb12ce6c0e", | 206 | "id": "9de18bb3-50da-43d2-a900-34eb12ce6c0e", | ||
166 | "name": "Citation Network", | 207 | "name": "Citation Network", | ||
167 | "state": "active", | 208 | "state": "active", | ||
168 | "vocabulary_id": null | 209 | "vocabulary_id": null | ||
169 | }, | 210 | }, | ||
170 | { | 211 | { | ||
171 | "display_name": "Edges", | 212 | "display_name": "Edges", | ||
172 | "id": "739ff26e-1ea7-466c-94c6-2048110a81fb", | 213 | "id": "739ff26e-1ea7-466c-94c6-2048110a81fb", | ||
173 | "name": "Edges", | 214 | "name": "Edges", | ||
174 | "state": "active", | 215 | "state": "active", | ||
175 | "vocabulary_id": null | 216 | "vocabulary_id": null | ||
176 | }, | 217 | }, | ||
177 | { | 218 | { | ||
178 | "display_name": "Graph Clustering", | 219 | "display_name": "Graph Clustering", | ||
179 | "id": "89d9acbf-0d12-402d-8e81-89a68bb4107a", | 220 | "id": "89d9acbf-0d12-402d-8e81-89a68bb4107a", | ||
180 | "name": "Graph Clustering", | 221 | "name": "Graph Clustering", | ||
181 | "state": "active", | 222 | "state": "active", | ||
182 | "vocabulary_id": null | 223 | "vocabulary_id": null | ||
183 | }, | 224 | }, | ||
184 | { | 225 | { | ||
185 | "display_name": "Heterogeneous Graphs", | 226 | "display_name": "Heterogeneous Graphs", | ||
186 | "id": "8842bb47-eafb-4a7c-a351-eef37d299e38", | 227 | "id": "8842bb47-eafb-4a7c-a351-eef37d299e38", | ||
187 | "name": "Heterogeneous Graphs", | 228 | "name": "Heterogeneous Graphs", | ||
188 | "state": "active", | 229 | "state": "active", | ||
189 | "vocabulary_id": null | 230 | "vocabulary_id": null | ||
190 | }, | 231 | }, | ||
191 | { | 232 | { | ||
192 | "display_name": "Hypergraph Neural Network", | 233 | "display_name": "Hypergraph Neural Network", | ||
193 | "id": "58e62ebc-d35a-4e42-b734-494fd70334d6", | 234 | "id": "58e62ebc-d35a-4e42-b734-494fd70334d6", | ||
194 | "name": "Hypergraph Neural Network", | 235 | "name": "Hypergraph Neural Network", | ||
195 | "state": "active", | 236 | "state": "active", | ||
196 | "vocabulary_id": null | 237 | "vocabulary_id": null | ||
197 | }, | 238 | }, | ||
198 | { | 239 | { | ||
199 | "display_name": "Hypergraph Self-Attention Mechanism", | 240 | "display_name": "Hypergraph Self-Attention Mechanism", | ||
200 | "id": "2a07d71b-fa60-43ea-9600-6d4db307d474", | 241 | "id": "2a07d71b-fa60-43ea-9600-6d4db307d474", | ||
201 | "name": "Hypergraph Self-Attention Mechanism", | 242 | "name": "Hypergraph Self-Attention Mechanism", | ||
202 | "state": "active", | 243 | "state": "active", | ||
203 | "vocabulary_id": null | 244 | "vocabulary_id": null | ||
204 | }, | 245 | }, | ||
205 | { | 246 | { | ||
206 | "display_name": "Link Prediction", | 247 | "display_name": "Link Prediction", | ||
207 | "id": "1825a40e-ed51-4256-a71f-800c830d4d19", | 248 | "id": "1825a40e-ed51-4256-a71f-800c830d4d19", | ||
208 | "name": "Link Prediction", | 249 | "name": "Link Prediction", | ||
209 | "state": "active", | 250 | "state": "active", | ||
210 | "vocabulary_id": null | 251 | "vocabulary_id": null | ||
211 | }, | 252 | }, | ||
212 | { | 253 | { | ||
213 | "display_name": "Multi-level Data Augmentation", | 254 | "display_name": "Multi-level Data Augmentation", | ||
214 | "id": "5f248669-f549-41ba-b562-f5dbd2948b86", | 255 | "id": "5f248669-f549-41ba-b562-f5dbd2948b86", | ||
215 | "name": "Multi-level Data Augmentation", | 256 | "name": "Multi-level Data Augmentation", | ||
216 | "state": "active", | 257 | "state": "active", | ||
217 | "vocabulary_id": null | 258 | "vocabulary_id": null | ||
218 | }, | 259 | }, | ||
219 | { | 260 | { | ||
220 | "display_name": "Node Clustering", | 261 | "display_name": "Node Clustering", | ||
221 | "id": "d9e114ca-65c5-44da-928f-aaefb703fdd3", | 262 | "id": "d9e114ca-65c5-44da-928f-aaefb703fdd3", | ||
222 | "name": "Node Clustering", | 263 | "name": "Node Clustering", | ||
223 | "state": "active", | 264 | "state": "active", | ||
224 | "vocabulary_id": null | 265 | "vocabulary_id": null | ||
225 | }, | 266 | }, | ||
226 | { | 267 | { | ||
227 | "display_name": "Node Features", | 268 | "display_name": "Node Features", | ||
228 | "id": "7befcde5-7c7a-4025-be49-601f4b11a539", | 269 | "id": "7befcde5-7c7a-4025-be49-601f4b11a539", | ||
229 | "name": "Node Features", | 270 | "name": "Node Features", | ||
230 | "state": "active", | 271 | "state": "active", | ||
231 | "vocabulary_id": null | 272 | "vocabulary_id": null | ||
232 | }, | 273 | }, | ||
233 | { | 274 | { | ||
234 | "display_name": "Scientific Paper Classification", | 275 | "display_name": "Scientific Paper Classification", | ||
235 | "id": "3c445628-99a9-40c5-8623-3875593f3579", | 276 | "id": "3c445628-99a9-40c5-8623-3875593f3579", | ||
236 | "name": "Scientific Paper Classification", | 277 | "name": "Scientific Paper Classification", | ||
237 | "state": "active", | 278 | "state": "active", | ||
238 | "vocabulary_id": null | 279 | "vocabulary_id": null | ||
239 | }, | 280 | }, | ||
240 | { | 281 | { | ||
241 | "display_name": "Semi-supervised Learning", | 282 | "display_name": "Semi-supervised Learning", | ||
242 | "id": "8beffbec-e8a0-46a4-8dc2-bc25f6b10b22", | 283 | "id": "8beffbec-e8a0-46a4-8dc2-bc25f6b10b22", | ||
243 | "name": "Semi-supervised Learning", | 284 | "name": "Semi-supervised Learning", | ||
244 | "state": "active", | 285 | "state": "active", | ||
245 | "vocabulary_id": null | 286 | "vocabulary_id": null | ||
246 | }, | 287 | }, | ||
247 | { | 288 | { | ||
248 | "display_name": "heterogeneous information network", | 289 | "display_name": "heterogeneous information network", | ||
249 | "id": "6751708f-bea2-43e4-b618-e5a499930bc3", | 290 | "id": "6751708f-bea2-43e4-b618-e5a499930bc3", | ||
250 | "name": "heterogeneous information network", | 291 | "name": "heterogeneous information network", | ||
251 | "state": "active", | 292 | "state": "active", | ||
252 | "vocabulary_id": null | 293 | "vocabulary_id": null | ||
253 | }, | 294 | }, | ||
254 | { | 295 | { | ||
255 | "display_name": "object classi\ufb01cation", | 296 | "display_name": "object classi\ufb01cation", | ||
256 | "id": "88aab438-9fb5-473e-9148-250fd13209df", | 297 | "id": "88aab438-9fb5-473e-9148-250fd13209df", | ||
257 | "name": "object classi\ufb01cation", | 298 | "name": "object classi\ufb01cation", | ||
258 | "state": "active", | 299 | "state": "active", | ||
259 | "vocabulary_id": null | 300 | "vocabulary_id": null | ||
260 | } | 301 | } | ||
261 | ], | 302 | ], | ||
262 | "title": "ACM", | 303 | "title": "ACM", | ||
263 | "type": "dataset", | 304 | "type": "dataset", | ||
264 | "version": "" | 305 | "version": "" | ||
265 | } | 306 | } |