{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HQETH46MZBLV5GDTF7V4R77YM7","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":"c91dc6b5174b4b57c043f63f9cd714d4d150f72d19c41331fdb3fa0a1b2be736","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2019-05-27T07:29:48Z","title_canon_sha256":"6af31391204179e9da76f7e8235cc2578f5d94a5e570edd027f05e5c9d499e19"},"schema_version":"1.0","source":{"id":"1905.11013","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.11013","created_at":"2026-05-17T23:45:03Z"},{"alias_kind":"arxiv_version","alias_value":"1905.11013v1","created_at":"2026-05-17T23:45:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.11013","created_at":"2026-05-17T23:45:03Z"},{"alias_kind":"pith_short_12","alias_value":"HQETH46MZBLV","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"HQETH46MZBLV5GDT","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"HQETH46M","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:0008cdf0c152e4bc068e24c56b3ba4ab181273d1a091baedeb85fcb5e1663072","target":"graph","created_at":"2026-05-17T23:45:03Z","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"},"paper":{"abstract_excerpt":"Recently, the Network Representation Learning (NRL) techniques, which represent graph structure via low-dimension vectors to support social-oriented application, have attracted wide attention. Though large efforts have been made, they may fail to describe the multiple aspects of similarity between social users, as only a single vector for one unique aspect has been represented for each node. To that end, in this paper, we propose a novel end-to-end framework named MCNE to learn multiple conditional network representations, so that various preferences for multiple behaviors could be fully captu","authors_text":"Defu Lian, Dongfang Du, Enhong Chen, Han Wu, Hao Wang, Qi Liu, Tong Xu, Wen Su","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2019-05-27T07:29:48Z","title":"MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.11013","kind":"arxiv","version":1},"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:eaa8191b4a97fc0f7fd3eeb2acc21f9ff56386f9cc11d1d206e5f65899d00e99","target":"record","created_at":"2026-05-17T23:45:03Z","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":"c91dc6b5174b4b57c043f63f9cd714d4d150f72d19c41331fdb3fa0a1b2be736","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2019-05-27T07:29:48Z","title_canon_sha256":"6af31391204179e9da76f7e8235cc2578f5d94a5e570edd027f05e5c9d499e19"},"schema_version":"1.0","source":{"id":"1905.11013","kind":"arxiv","version":1}},"canonical_sha256":"3c0933f3ccc8575e98732febc8fff867c20b8ddda9a62632825a432227096d8a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c0933f3ccc8575e98732febc8fff867c20b8ddda9a62632825a432227096d8a","first_computed_at":"2026-05-17T23:45:03.162075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:03.162075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RqqfS+YIn1Vq1HIL0yHbI52Qi2gDRt5p0vwm5CMuh4bfQDvPfMkEkMH4jgIAlla+MjAYF0vqlPu0uRuwVvKnBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:03.162526Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.11013","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eaa8191b4a97fc0f7fd3eeb2acc21f9ff56386f9cc11d1d206e5f65899d00e99","sha256:0008cdf0c152e4bc068e24c56b3ba4ab181273d1a091baedeb85fcb5e1663072"],"state_sha256":"5a9a8368e52457632158837e9f5e9ad57641696b5dd49d54cc94102e11867740"}