{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TV2VO6WHN2DI2UY4SBH74FO26A","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":"699ccb0ad3346799fa2298604d8df6da7b49816352fc42c78f0024edc7aee33c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-09-24T11:44:15Z","title_canon_sha256":"940d3c7709b9b9d8aeff39b406b8bc8fd8c7fccfca8818ac9e5a3d1803487941"},"schema_version":"1.0","source":{"id":"2109.11898","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.11898","created_at":"2026-07-05T03:17:08Z"},{"alias_kind":"arxiv_version","alias_value":"2109.11898v1","created_at":"2026-07-05T03:17:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.11898","created_at":"2026-07-05T03:17:08Z"},{"alias_kind":"pith_short_12","alias_value":"TV2VO6WHN2DI","created_at":"2026-07-05T03:17:08Z"},{"alias_kind":"pith_short_16","alias_value":"TV2VO6WHN2DI2UY4","created_at":"2026-07-05T03:17:08Z"},{"alias_kind":"pith_short_8","alias_value":"TV2VO6WH","created_at":"2026-07-05T03:17:08Z"}],"graph_snapshots":[{"event_id":"sha256:26fb1b3cbe1d3934bb4f298732504d78ea5d194ebcb25955255e1bbe3c15e231","target":"graph","created_at":"2026-07-05T03:17:08Z","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/2109.11898/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Social recommendation based on social network has achieved great success in improving the performance of recommendation system. Since social network (user-user relations) and user-item interactions are both naturally represented as graph-structured data, Graph Neural Networks (GNNs) have thus been widely applied for social recommendation. In this work, we propose an end-to-end heterogeneous global graph learning framework, namely Graph Learning Augmented Heterogeneous Graph Neural Network (GL-HGNN) for social recommendation. GL-HGNN aims to learn a heterogeneous global graph that makes full us","authors_text":"Bo Long, Ethan Chang, Fangli Xu, Lingfei Wu, Qi Shen, Yiming Zhang, Yitong Pang, Zhihua Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-09-24T11:44:15Z","title":"Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.11898","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:e8f26b9324b95cad1fba41f53b9e6acc88b2024ea813b69698ed9875cb450311","target":"record","created_at":"2026-07-05T03:17:08Z","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":"699ccb0ad3346799fa2298604d8df6da7b49816352fc42c78f0024edc7aee33c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-09-24T11:44:15Z","title_canon_sha256":"940d3c7709b9b9d8aeff39b406b8bc8fd8c7fccfca8818ac9e5a3d1803487941"},"schema_version":"1.0","source":{"id":"2109.11898","kind":"arxiv","version":1}},"canonical_sha256":"9d75577ac76e868d531c904ffe15daf030a1189c956baba8364c8c2a0fb1e303","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d75577ac76e868d531c904ffe15daf030a1189c956baba8364c8c2a0fb1e303","first_computed_at":"2026-07-05T03:17:08.635801Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:17:08.635801Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jzylW5JFYEnXcNdq0P+2ia3XIT9XM2/XytQLzAlThaJz2ACAbPeQu24DDW5BF1dNU13tsHABc1DQ4XF5CkrZDA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:17:08.636217Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.11898","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8f26b9324b95cad1fba41f53b9e6acc88b2024ea813b69698ed9875cb450311","sha256:26fb1b3cbe1d3934bb4f298732504d78ea5d194ebcb25955255e1bbe3c15e231"],"state_sha256":"9e66db7c853f655a24aadefae7947f9feabf0fc9f019fe558367045b8c529894"}