{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:YHNJDLBP5JASCIOGZASHSVK47G","short_pith_number":"pith:YHNJDLBP","schema_version":"1.0","canonical_sha256":"c1da91ac2fea412121c6c82479555cf98c92bd39497c89d7985e4cb5d6f2bc6d","source":{"kind":"arxiv","id":"2407.07357","version":4},"attestation_state":"computed","paper":{"title":"A polarity-aware multi-relational model for the signed interaction prediction in biological networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["q-bio.MN"],"primary_cat":"cs.LG","authors_text":"Lun Yu, Meijie Wang, Yize Zhou","submitted_at":"2024-07-10T04:28:21Z","abstract_excerpt":"Predicting signed interactions in biological networks is crucial for understanding drug mechanisms and facilitating drug repurposing. While deep graph models have demonstrated success in modeling complex biological systems, existing approaches often fail to distinguish between positive and negative interactions, limiting their utility for precise pharmacological predictions. In this study, we propose a novel deep graph model, PAMR (polarity-aware multi-relational model), designed to predict both polar (e.g., activation, inhibition) and non-polar (e.g., binding, affect) chemical-gene interactio"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2407.07357","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-07-10T04:28:21Z","cross_cats_sorted":["q-bio.MN"],"title_canon_sha256":"2634ad94664a0cd8fc31d1ee5b310db16e5598ae466eaba4db0c3ef9d1b19864","abstract_canon_sha256":"7493c8eff552641e29c8ec390df7627cc42c8ae76644d39f82b92eff85078516"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T02:13:12.863708Z","signature_b64":"fguhakGuZRdac5gIQUEOGE0qGBVgGSs+/BxPyIRvzGU++hHuOXqWCsAfHbpmO0xFJ7psyCzGe/B1VvX0k7oNBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c1da91ac2fea412121c6c82479555cf98c92bd39497c89d7985e4cb5d6f2bc6d","last_reissued_at":"2026-06-23T02:13:12.863227Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T02:13:12.863227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A polarity-aware multi-relational model for the signed interaction prediction in biological networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["q-bio.MN"],"primary_cat":"cs.LG","authors_text":"Lun Yu, Meijie Wang, Yize Zhou","submitted_at":"2024-07-10T04:28:21Z","abstract_excerpt":"Predicting signed interactions in biological networks is crucial for understanding drug mechanisms and facilitating drug repurposing. While deep graph models have demonstrated success in modeling complex biological systems, existing approaches often fail to distinguish between positive and negative interactions, limiting their utility for precise pharmacological predictions. In this study, we propose a novel deep graph model, PAMR (polarity-aware multi-relational model), designed to predict both polar (e.g., activation, inhibition) and non-polar (e.g., binding, affect) chemical-gene interactio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.07357","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.07357/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2407.07357","created_at":"2026-06-23T02:13:12.863284+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.07357v4","created_at":"2026-06-23T02:13:12.863284+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.07357","created_at":"2026-06-23T02:13:12.863284+00:00"},{"alias_kind":"pith_short_12","alias_value":"YHNJDLBP5JAS","created_at":"2026-06-23T02:13:12.863284+00:00"},{"alias_kind":"pith_short_16","alias_value":"YHNJDLBP5JASCIOG","created_at":"2026-06-23T02:13:12.863284+00:00"},{"alias_kind":"pith_short_8","alias_value":"YHNJDLBP","created_at":"2026-06-23T02:13:12.863284+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G","json":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G.json","graph_json":"https://pith.science/api/pith-number/YHNJDLBP5JASCIOGZASHSVK47G/graph.json","events_json":"https://pith.science/api/pith-number/YHNJDLBP5JASCIOGZASHSVK47G/events.json","paper":"https://pith.science/paper/YHNJDLBP"},"agent_actions":{"view_html":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G","download_json":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G.json","view_paper":"https://pith.science/paper/YHNJDLBP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.07357&json=true","fetch_graph":"https://pith.science/api/pith-number/YHNJDLBP5JASCIOGZASHSVK47G/graph.json","fetch_events":"https://pith.science/api/pith-number/YHNJDLBP5JASCIOGZASHSVK47G/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G/action/storage_attestation","attest_author":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G/action/author_attestation","sign_citation":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G/action/citation_signature","submit_replication":"https://pith.science/pith/YHNJDLBP5JASCIOGZASHSVK47G/action/replication_record"}},"created_at":"2026-06-23T02:13:12.863284+00:00","updated_at":"2026-06-23T02:13:12.863284+00:00"}