{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VGFJZTFPGCINUJOFGLXJRDV6P3","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":"46f9beb338a7546d0b4898a86d9d54a8a5f4f3f85cf8705be621fa9405c6876c","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-04T16:55:25Z","title_canon_sha256":"11e6a3e978e5f3544d54059af35be9f4d5e22f940863b100c91f0f3b279f6e5d"},"schema_version":"1.0","source":{"id":"2203.02424","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.02424","created_at":"2026-07-05T04:20:54Z"},{"alias_kind":"arxiv_version","alias_value":"2203.02424v2","created_at":"2026-07-05T04:20:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.02424","created_at":"2026-07-05T04:20:54Z"},{"alias_kind":"pith_short_12","alias_value":"VGFJZTFPGCIN","created_at":"2026-07-05T04:20:54Z"},{"alias_kind":"pith_short_16","alias_value":"VGFJZTFPGCINUJOF","created_at":"2026-07-05T04:20:54Z"},{"alias_kind":"pith_short_8","alias_value":"VGFJZTFP","created_at":"2026-07-05T04:20:54Z"}],"graph_snapshots":[{"event_id":"sha256:c665355d99ac1b1a5168fcc7e6040d53c233dfd794b1c2a844fa19b9792fc92d","target":"graph","created_at":"2026-07-05T04:20:54Z","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/2203.02424/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The inception of the Relational Graph Convolutional Network (R-GCN) marked a milestone in the Semantic Web domain as a widely cited method that generalises end-to-end hierarchical representation learning to Knowledge Graphs (KGs). R-GCNs generate representations for nodes of interest by repeatedly aggregating parameterised, relation-specific transformations of their neighbours. However, in this paper, we argue that the the R-GCN's main contribution lies in this \"message passing\" paradigm, rather than the learned weights. To this end, we introduce the \"Random Relational Graph Convolutional Netw","authors_text":"Femke Ongenae, Gilles Vandewiele, Sofie Van Hoecke, Vic Degraeve","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-04T16:55:25Z","title":"R-GCN: The R Could Stand for Random"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.02424","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":"sha256:7c8007abd3706e93cebd34dea5e34b5a484f0d5a880b4d8b99290d3b63788cb5","target":"record","created_at":"2026-07-05T04:20:54Z","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":"46f9beb338a7546d0b4898a86d9d54a8a5f4f3f85cf8705be621fa9405c6876c","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-03-04T16:55:25Z","title_canon_sha256":"11e6a3e978e5f3544d54059af35be9f4d5e22f940863b100c91f0f3b279f6e5d"},"schema_version":"1.0","source":{"id":"2203.02424","kind":"arxiv","version":2}},"canonical_sha256":"a98a9cccaf3090da25c532ee988ebe7ecf363fdb8cbb0e1774b69739f9470ffe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a98a9cccaf3090da25c532ee988ebe7ecf363fdb8cbb0e1774b69739f9470ffe","first_computed_at":"2026-07-05T04:20:54.620577Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:20:54.620577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v8sFclHnt2HIf9HT0Yfs2How2MQyCpl8J+5yHXPCee7hKklrxLpmghJEgFGOekjWgHS8DYpHx+x6/Ydz6vW2Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:20:54.621070Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.02424","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c8007abd3706e93cebd34dea5e34b5a484f0d5a880b4d8b99290d3b63788cb5","sha256:c665355d99ac1b1a5168fcc7e6040d53c233dfd794b1c2a844fa19b9792fc92d"],"state_sha256":"774f25d8721aa50281ec626c05a0a3fcadfc06fc57808fdf522a24d6e71a801a"}