Changes
On December 3, 2024 at 7:49:31 AM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Haar Graph Pooling -
Changed value of field
doi_date_published
to2024-12-03
in Haar Graph Pooling -
Added resource Original Metadata to Haar Graph Pooling
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3 | "author": "Yu Guang Wang", | 3 | "author": "Yu Guang Wang", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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7 | "defined_in": "https://doi.org/10.48550/arXiv.1909.11580", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.1909.11580", | ||
8 | "doi": "10.57702/1wsog130", | 8 | "doi": "10.57702/1wsog130", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-03", |
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": "Ming Li", | 15 | "extra_author": "Ming Li", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Zheng Ma", | 19 | "extra_author": "Zheng Ma", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Guido Mont\u00b4ufar", | 23 | "extra_author": "Guido Mont\u00b4ufar", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Xiaosheng Zhuang", | 27 | "extra_author": "Xiaosheng Zhuang", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Yanan Fan", | 31 | "extra_author": "Yanan Fan", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | } | 33 | } | ||
34 | ], | 34 | ], | ||
35 | "groups": [ | 35 | "groups": [ | ||
36 | { | 36 | { | ||
37 | "description": "", | 37 | "description": "", | ||
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42 | "title": "Graph Classification" | 42 | "title": "Graph Classification" | ||
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49 | "name": "graph-neural-networks", | 49 | "name": "graph-neural-networks", | ||
50 | "title": "Graph Neural Networks" | 50 | "title": "Graph Neural Networks" | ||
51 | }, | 51 | }, | ||
52 | { | 52 | { | ||
53 | "description": "", | 53 | "description": "", | ||
54 | "display_name": "Graph Pooling", | 54 | "display_name": "Graph Pooling", | ||
55 | "id": "48d94d22-749b-4084-9f84-ec9ab0ea254b", | 55 | "id": "48d94d22-749b-4084-9f84-ec9ab0ea254b", | ||
56 | "image_display_url": "", | 56 | "image_display_url": "", | ||
57 | "name": "graph-pooling", | 57 | "name": "graph-pooling", | ||
58 | "title": "Graph Pooling" | 58 | "title": "Graph Pooling" | ||
59 | }, | 59 | }, | ||
60 | { | 60 | { | ||
61 | "description": "", | 61 | "description": "", | ||
62 | "display_name": "Graph-Based Regression", | 62 | "display_name": "Graph-Based Regression", | ||
63 | "id": "bef3438d-0add-482a-9d27-fedbc4014c6b", | 63 | "id": "bef3438d-0add-482a-9d27-fedbc4014c6b", | ||
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65 | "name": "graph-based-regression", | 65 | "name": "graph-based-regression", | ||
66 | "title": "Graph-Based Regression" | 66 | "title": "Graph-Based Regression" | ||
67 | }, | 67 | }, | ||
68 | { | 68 | { | ||
69 | "description": "", | 69 | "description": "", | ||
70 | "display_name": "Haar Basis", | 70 | "display_name": "Haar Basis", | ||
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73 | "name": "haar-basis", | 73 | "name": "haar-basis", | ||
74 | "title": "Haar Basis" | 74 | "title": "Haar Basis" | ||
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78 | "isopen": false, | 78 | "isopen": false, | ||
79 | "landing_page": "", | 79 | "landing_page": "", | ||
80 | "license_title": null, | 80 | "license_title": null, | ||
81 | "link_orkg": "", | 81 | "link_orkg": "", | ||
82 | "metadata_created": "2024-12-03T07:49:29.541025", | 82 | "metadata_created": "2024-12-03T07:49:29.541025", | ||
n | 83 | "metadata_modified": "2024-12-03T07:49:29.541031", | n | 83 | "metadata_modified": "2024-12-03T07:49:30.139596", |
84 | "name": "haar-graph-pooling", | 84 | "name": "haar-graph-pooling", | ||
85 | "notes": "Deep Graph Neural Networks (GNNs) are useful models for | 85 | "notes": "Deep Graph Neural Networks (GNNs) are useful models for | ||
86 | graph classification and graph-based regression tasks. In these tasks, | 86 | graph classification and graph-based regression tasks. In these tasks, | ||
87 | graph pooling is a critical ingredient by which GNNs adapt to input | 87 | graph pooling is a critical ingredient by which GNNs adapt to input | ||
88 | graphs of varying size and structure. We propose a new graph pooling | 88 | graphs of varying size and structure. We propose a new graph pooling | ||
89 | operation based on compressive Haar transforms \u2014 HaarPooling. | 89 | operation based on compressive Haar transforms \u2014 HaarPooling. | ||
90 | HaarPooling implements a cascade of pooling operations; it is computed | 90 | HaarPooling implements a cascade of pooling operations; it is computed | ||
91 | by following a sequence of clusterings of the input graph.", | 91 | by following a sequence of clusterings of the input graph.", | ||
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93 | "num_tags": 4, | 93 | "num_tags": 4, | ||
94 | "organization": { | 94 | "organization": { | ||
95 | "approval_status": "approved", | 95 | "approval_status": "approved", | ||
96 | "created": "2024-11-25T12:11:38.292601", | 96 | "created": "2024-11-25T12:11:38.292601", | ||
97 | "description": "", | 97 | "description": "", | ||
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100 | "is_organization": true, | 100 | "is_organization": true, | ||
101 | "name": "no-organization", | 101 | "name": "no-organization", | ||
102 | "state": "active", | 102 | "state": "active", | ||
103 | "title": "No Organization", | 103 | "title": "No Organization", | ||
104 | "type": "organization" | 104 | "type": "organization" | ||
105 | }, | 105 | }, | ||
106 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 106 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
107 | "private": false, | 107 | "private": false, | ||
108 | "relationships_as_object": [], | 108 | "relationships_as_object": [], | ||
109 | "relationships_as_subject": [], | 109 | "relationships_as_subject": [], | ||
t | 110 | "resources": [], | t | 110 | "resources": [ |
111 | { | ||||
112 | "cache_last_updated": null, | ||||
113 | "cache_url": null, | ||||
114 | "created": "2024-12-03T08:34:31", | ||||
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116 | "dcterms:title", | ||||
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129 | "mls:task", | ||||
130 | "datacite:isDescribedBy" | ||||
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134 | "format": "JSON", | ||||
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141 | "name": "Original Metadata", | ||||
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112 | "state": "active", | 153 | "state": "active", | ||
113 | "tags": [ | 154 | "tags": [ | ||
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115 | "display_name": "Deep Learning", | 156 | "display_name": "Deep Learning", | ||
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129 | "display_name": "Graph Pooling", | 170 | "display_name": "Graph Pooling", | ||
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134 | }, | 175 | }, | ||
135 | { | 176 | { | ||
136 | "display_name": "HaarPooling", | 177 | "display_name": "HaarPooling", | ||
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142 | ], | 183 | ], | ||
143 | "title": "Haar Graph Pooling", | 184 | "title": "Haar Graph Pooling", | ||
144 | "type": "dataset", | 185 | "type": "dataset", | ||
145 | "version": "" | 186 | "version": "" | ||
146 | } | 187 | } |