{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:XUP67NDC7RIZS5FQKOCFNIOSD2","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"6b277f879d2d28ce6fa99302e1dc7c226600744e5df7277f67058721a310a4e8","cross_cats_sorted":["cs.SI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-07T07:43:28Z","title_canon_sha256":"0e430dce0c33e8f75b69787bb033ad2281a3d69e68081d2e29c67ee70b30db51"},"schema_version":"1.0","source":{"id":"2106.03393","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.03393","created_at":"2026-07-05T05:50:03Z"},{"alias_kind":"arxiv_version","alias_value":"2106.03393v2","created_at":"2026-07-05T05:50:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.03393","created_at":"2026-07-05T05:50:03Z"},{"alias_kind":"pith_short_12","alias_value":"XUP67NDC7RIZ","created_at":"2026-07-05T05:50:03Z"},{"alias_kind":"pith_short_16","alias_value":"XUP67NDC7RIZS5FQ","created_at":"2026-07-05T05:50:03Z"},{"alias_kind":"pith_short_8","alias_value":"XUP67NDC","created_at":"2026-07-05T05:50:03Z"}],"graph_snapshots":[{"event_id":"sha256:f1f4b84acdef70bc9bc5f1ff2aee42e16d2b1d9be3b9e745ed2f4f6509cd1814","target":"graph","created_at":"2026-07-05T05:50:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2106.03393/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The high cost of data labeling often results in node label shortage in real applications. To improve node classification accuracy, graph-based semi-supervised learning leverages the ample unlabeled nodes to train together with the scarce available labeled nodes. However, most existing methods require the information of all nodes, including those to be predicted, during model training, which is not practical for dynamic graphs with newly added nodes. To address this issue, an adversarially regularized graph attention model is proposed to classify newly added nodes in a partially labeled graph. ","authors_text":"James Lam, Jiaren Xiao, Ka-Wai Kwok, Quanyu Dai, Xiaochen Xie","cross_cats":["cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-07T07:43:28Z","title":"Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.03393","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8c2a7493fdaaf8cf228687b99328e46e7267c099938a5262305b508801d6a3ef","target":"record","created_at":"2026-07-05T05:50:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"6b277f879d2d28ce6fa99302e1dc7c226600744e5df7277f67058721a310a4e8","cross_cats_sorted":["cs.SI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2021-06-07T07:43:28Z","title_canon_sha256":"0e430dce0c33e8f75b69787bb033ad2281a3d69e68081d2e29c67ee70b30db51"},"schema_version":"1.0","source":{"id":"2106.03393","kind":"arxiv","version":2}},"canonical_sha256":"bd1fefb462fc519974b0538456a1d21e9ecf98780d0cb2d56ea31369aedc332e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd1fefb462fc519974b0538456a1d21e9ecf98780d0cb2d56ea31369aedc332e","first_computed_at":"2026-07-05T05:50:03.362590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:50:03.362590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GpenTXnZ6lMObwLmTkfax0qqbeewJGaEZLOC1gAJZ5I4lIPqQC2TdN5dFg0d0QPeK+JiUexlXkucQrQ/T2p1Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:50:03.363047Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.03393","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c2a7493fdaaf8cf228687b99328e46e7267c099938a5262305b508801d6a3ef","sha256:f1f4b84acdef70bc9bc5f1ff2aee42e16d2b1d9be3b9e745ed2f4f6509cd1814"],"state_sha256":"4f9b851e41c8db457895ad95785649339cabb3287e5e2a4d7be1a295e2894a23"}