{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:XPZ2MMNC2BTZHFR6D6K7W6DYPW","short_pith_number":"pith:XPZ2MMNC","canonical_record":{"source":{"id":"2005.11903","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-25T03:12:18Z","cross_cats_sorted":["cs.CR","stat.ML"],"title_canon_sha256":"45caff64da3e6f367bdcb7a1453ab64b03046aa9c25fbc840d17765539051a08","abstract_canon_sha256":"efe31fd49109120aa2e682adf47f93d21e0f588b48f57d65d425fb95c1fa4ae3"},"schema_version":"1.0"},"canonical_sha256":"bbf3a631a2d06793963e1f95fb78787dbea874299df697f3fa7e68fa69ec6884","source":{"kind":"arxiv","id":"2005.11903","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.11903","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"arxiv_version","alias_value":"2005.11903v3","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.11903","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"pith_short_12","alias_value":"XPZ2MMNC2BTZ","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"pith_short_16","alias_value":"XPZ2MMNC2BTZHFR6","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"pith_short_8","alias_value":"XPZ2MMNC","created_at":"2026-07-05T04:17:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:XPZ2MMNC2BTZHFR6D6K7W6DYPW","target":"record","payload":{"canonical_record":{"source":{"id":"2005.11903","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-25T03:12:18Z","cross_cats_sorted":["cs.CR","stat.ML"],"title_canon_sha256":"45caff64da3e6f367bdcb7a1453ab64b03046aa9c25fbc840d17765539051a08","abstract_canon_sha256":"efe31fd49109120aa2e682adf47f93d21e0f588b48f57d65d425fb95c1fa4ae3"},"schema_version":"1.0"},"canonical_sha256":"bbf3a631a2d06793963e1f95fb78787dbea874299df697f3fa7e68fa69ec6884","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:17:12.527057Z","signature_b64":"VAPWX9I8k0P9SQjxAZljmYZsfjh8Se/nB04lVcFqHK+dw51jU/I3oUaWa1WFIundTMFgULzsIEV+fdM3WgEUDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bbf3a631a2d06793963e1f95fb78787dbea874299df697f3fa7e68fa69ec6884","last_reissued_at":"2026-07-05T04:17:12.526613Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:17:12.526613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.11903","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:17:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CgRQt02dydLqoF9L0kZlvO5Krnvb3XSptvocXn6Ln9KXshdoPONq4+WJ1v8yCHrvtXoY3HlimtbDx75nmHX5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:32:00.350778Z"},"content_sha256":"e9c5fbe273665cd38d2d3ab9fb05ef9e93cf7af96f89425ebc2dee97c5913abf","schema_version":"1.0","event_id":"sha256:e9c5fbe273665cd38d2d3ab9fb05ef9e93cf7af96f89425ebc2dee97c5913abf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:XPZ2MMNC2BTZHFR6D6K7W6DYPW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CR","stat.ML"],"primary_cat":"cs.LG","authors_text":"Bingzhe Wu, Chaochao Chen, Huiwen Wu, Jia Wu, Jun Zhou, Lingjuan Lyu, Li Wang, Longfei Zheng, Xiaolin Zheng, Ziqi Liu","submitted_at":"2020-05-25T03:12:18Z","abstract_excerpt":"Recently, Graph Neural Network (GNN) has achieved remarkable progresses in various real-world tasks on graph data, consisting of node features and the adjacent information between different nodes. High-performance GNN models always depend on both rich features and complete edge information in graph. However, such information could possibly be isolated by different data holders in practice, which is the so-called data isolation problem. To solve this problem, in this paper, we propose VFGNN, a federated GNN learning paradigm for privacy-preserving node classification task under data vertically "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.11903","kind":"arxiv","version":3},"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/2005.11903/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:17:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jP4BIV8Yrm8mDWZWAvdHs1SEVzDECCdMpexwoMn31ZrNzLaeW8+Uh3q7v6LbMKbi1Ge6oYPkJGn7dibRlaiCAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:32:00.351276Z"},"content_sha256":"39bc9da85c465d3bd8ecc6d4d3fb8899c050161c6e139062fdf7413eaafa55f7","schema_version":"1.0","event_id":"sha256:39bc9da85c465d3bd8ecc6d4d3fb8899c050161c6e139062fdf7413eaafa55f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XPZ2MMNC2BTZHFR6D6K7W6DYPW/bundle.json","state_url":"https://pith.science/pith/XPZ2MMNC2BTZHFR6D6K7W6DYPW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XPZ2MMNC2BTZHFR6D6K7W6DYPW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T05:32:00Z","links":{"resolver":"https://pith.science/pith/XPZ2MMNC2BTZHFR6D6K7W6DYPW","bundle":"https://pith.science/pith/XPZ2MMNC2BTZHFR6D6K7W6DYPW/bundle.json","state":"https://pith.science/pith/XPZ2MMNC2BTZHFR6D6K7W6DYPW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XPZ2MMNC2BTZHFR6D6K7W6DYPW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:XPZ2MMNC2BTZHFR6D6K7W6DYPW","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":"efe31fd49109120aa2e682adf47f93d21e0f588b48f57d65d425fb95c1fa4ae3","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-25T03:12:18Z","title_canon_sha256":"45caff64da3e6f367bdcb7a1453ab64b03046aa9c25fbc840d17765539051a08"},"schema_version":"1.0","source":{"id":"2005.11903","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.11903","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"arxiv_version","alias_value":"2005.11903v3","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.11903","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"pith_short_12","alias_value":"XPZ2MMNC2BTZ","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"pith_short_16","alias_value":"XPZ2MMNC2BTZHFR6","created_at":"2026-07-05T04:17:12Z"},{"alias_kind":"pith_short_8","alias_value":"XPZ2MMNC","created_at":"2026-07-05T04:17:12Z"}],"graph_snapshots":[{"event_id":"sha256:39bc9da85c465d3bd8ecc6d4d3fb8899c050161c6e139062fdf7413eaafa55f7","target":"graph","created_at":"2026-07-05T04:17:12Z","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/2005.11903/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, Graph Neural Network (GNN) has achieved remarkable progresses in various real-world tasks on graph data, consisting of node features and the adjacent information between different nodes. High-performance GNN models always depend on both rich features and complete edge information in graph. However, such information could possibly be isolated by different data holders in practice, which is the so-called data isolation problem. To solve this problem, in this paper, we propose VFGNN, a federated GNN learning paradigm for privacy-preserving node classification task under data vertically ","authors_text":"Bingzhe Wu, Chaochao Chen, Huiwen Wu, Jia Wu, Jun Zhou, Lingjuan Lyu, Li Wang, Longfei Zheng, Xiaolin Zheng, Ziqi Liu","cross_cats":["cs.CR","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-25T03:12:18Z","title":"Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.11903","kind":"arxiv","version":3},"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:e9c5fbe273665cd38d2d3ab9fb05ef9e93cf7af96f89425ebc2dee97c5913abf","target":"record","created_at":"2026-07-05T04:17:12Z","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":"efe31fd49109120aa2e682adf47f93d21e0f588b48f57d65d425fb95c1fa4ae3","cross_cats_sorted":["cs.CR","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-05-25T03:12:18Z","title_canon_sha256":"45caff64da3e6f367bdcb7a1453ab64b03046aa9c25fbc840d17765539051a08"},"schema_version":"1.0","source":{"id":"2005.11903","kind":"arxiv","version":3}},"canonical_sha256":"bbf3a631a2d06793963e1f95fb78787dbea874299df697f3fa7e68fa69ec6884","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbf3a631a2d06793963e1f95fb78787dbea874299df697f3fa7e68fa69ec6884","first_computed_at":"2026-07-05T04:17:12.526613Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:17:12.526613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VAPWX9I8k0P9SQjxAZljmYZsfjh8Se/nB04lVcFqHK+dw51jU/I3oUaWa1WFIundTMFgULzsIEV+fdM3WgEUDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:17:12.527057Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.11903","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e9c5fbe273665cd38d2d3ab9fb05ef9e93cf7af96f89425ebc2dee97c5913abf","sha256:39bc9da85c465d3bd8ecc6d4d3fb8899c050161c6e139062fdf7413eaafa55f7"],"state_sha256":"8630792bbd71ea3ee92a3be6a399d16ae0a5e4133c2fef6c18067170fb16d2ac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RxkF/8qLKI9Uf8glnWkaD5GIkFAit4vWIA7Y6w0yPBNiskYEKczZPaqPDbSd53b+hqqOTaaKdGX5xHs9p+3iDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:32:00.357231Z","bundle_sha256":"1a54a883791264a276ad332a45dff7959ec34b1d65621cc9cc68a5cc7b051661"}}