{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:LSMRVV6LUROD6LWBBXNF6ZJ3OZ","short_pith_number":"pith:LSMRVV6L","canonical_record":{"source":{"id":"2006.06648","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-11T17:42:46Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"596ffe63ef4a8096966f25c11f7af5f37865607dc7693a04463a95a8b3ba3634","abstract_canon_sha256":"01a179641ee387c72e31a199b2d6e19d6d518824035d21f48b870373030c363f"},"schema_version":"1.0"},"canonical_sha256":"5c991ad7cba45c3f2ec10dda5f653b7656f1db680f92c12fbb82c39d44c13661","source":{"kind":"arxiv","id":"2006.06648","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06648","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06648v3","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06648","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"pith_short_12","alias_value":"LSMRVV6LUROD","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"pith_short_16","alias_value":"LSMRVV6LUROD6LWB","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"pith_short_8","alias_value":"LSMRVV6L","created_at":"2026-07-05T01:47:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:LSMRVV6LUROD6LWBBXNF6ZJ3OZ","target":"record","payload":{"canonical_record":{"source":{"id":"2006.06648","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-11T17:42:46Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"596ffe63ef4a8096966f25c11f7af5f37865607dc7693a04463a95a8b3ba3634","abstract_canon_sha256":"01a179641ee387c72e31a199b2d6e19d6d518824035d21f48b870373030c363f"},"schema_version":"1.0"},"canonical_sha256":"5c991ad7cba45c3f2ec10dda5f653b7656f1db680f92c12fbb82c39d44c13661","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:47:31.056190Z","signature_b64":"0PvdrrRXuHZirnDwAuAKORucxD60Yae1TV8VbNDea3X/nj1PHxrTYXVZG3gHoi/56K1jO263D0ZkjAYiHQLvBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c991ad7cba45c3f2ec10dda5f653b7656f1db680f92c12fbb82c39d44c13661","last_reissued_at":"2026-07-05T01:47:31.055744Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:47:31.055744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.06648","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":"2026-07-05T01:47:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YJ8T3vGg4QBRAODJrOmaOisNKbkYgb8wZzIZkZFSoCef81PqM/tG/MfVINYRH63Eyksyf/lKeshr9SWMZbMBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:32:36.498517Z"},"content_sha256":"da62bc9af5c2237c5478d08cd229f4c9d54d7d4fbbade000ea1ca21cc05f502c","schema_version":"1.0","event_id":"sha256:da62bc9af5c2237c5478d08cd229f4c9d54d7d4fbbade000ea1ca21cc05f502c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:LSMRVV6LUROD6LWBBXNF6ZJ3OZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dong Bok Lee, Jinheon Baek, Sung Ju Hwang","submitted_at":"2020-06-11T17:42:46Z","abstract_excerpt":"Many practical graph problems, such as knowledge graph construction and drug-drug interaction prediction, require to handle multi-relational graphs. However, handling real-world multi-relational graphs with Graph Neural Networks (GNNs) is often challenging due to their evolving nature, as new entities (nodes) can emerge over time. Moreover, newly emerged entities often have few links, which makes the learning even more difficult. Motivated by this challenge, we introduce a realistic problem of few-shot out-of-graph link prediction, where we not only predict the links between the seen and unsee"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06648","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/2006.06648/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":"2026-07-05T01:47:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zGdc/YzYJBH3VMtRAx2RxrhBu9d+rSEwWEpsfu8DMD+ugbNOq+obzi+zWoevROmekhQDCAksDudWeo1ghDLfDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T13:32:36.498887Z"},"content_sha256":"2b27f60d35a2e05247ba0cdd6d933e1a78ae32bb1d693dbd2f8069f89bec1ac1","schema_version":"1.0","event_id":"sha256:2b27f60d35a2e05247ba0cdd6d933e1a78ae32bb1d693dbd2f8069f89bec1ac1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LSMRVV6LUROD6LWBBXNF6ZJ3OZ/bundle.json","state_url":"https://pith.science/pith/LSMRVV6LUROD6LWBBXNF6ZJ3OZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LSMRVV6LUROD6LWBBXNF6ZJ3OZ/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":"2026-08-14T13:32:36Z","links":{"resolver":"https://pith.science/pith/LSMRVV6LUROD6LWBBXNF6ZJ3OZ","bundle":"https://pith.science/pith/LSMRVV6LUROD6LWBBXNF6ZJ3OZ/bundle.json","state":"https://pith.science/pith/LSMRVV6LUROD6LWBBXNF6ZJ3OZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LSMRVV6LUROD6LWBBXNF6ZJ3OZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:LSMRVV6LUROD6LWBBXNF6ZJ3OZ","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":"01a179641ee387c72e31a199b2d6e19d6d518824035d21f48b870373030c363f","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-11T17:42:46Z","title_canon_sha256":"596ffe63ef4a8096966f25c11f7af5f37865607dc7693a04463a95a8b3ba3634"},"schema_version":"1.0","source":{"id":"2006.06648","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06648","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06648v3","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06648","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"pith_short_12","alias_value":"LSMRVV6LUROD","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"pith_short_16","alias_value":"LSMRVV6LUROD6LWB","created_at":"2026-07-05T01:47:31Z"},{"alias_kind":"pith_short_8","alias_value":"LSMRVV6L","created_at":"2026-07-05T01:47:31Z"}],"graph_snapshots":[{"event_id":"sha256:2b27f60d35a2e05247ba0cdd6d933e1a78ae32bb1d693dbd2f8069f89bec1ac1","target":"graph","created_at":"2026-07-05T01:47:31Z","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/2006.06648/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many practical graph problems, such as knowledge graph construction and drug-drug interaction prediction, require to handle multi-relational graphs. However, handling real-world multi-relational graphs with Graph Neural Networks (GNNs) is often challenging due to their evolving nature, as new entities (nodes) can emerge over time. Moreover, newly emerged entities often have few links, which makes the learning even more difficult. Motivated by this challenge, we introduce a realistic problem of few-shot out-of-graph link prediction, where we not only predict the links between the seen and unsee","authors_text":"Dong Bok Lee, Jinheon Baek, Sung Ju Hwang","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-11T17:42:46Z","title":"Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06648","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:da62bc9af5c2237c5478d08cd229f4c9d54d7d4fbbade000ea1ca21cc05f502c","target":"record","created_at":"2026-07-05T01:47:31Z","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":"01a179641ee387c72e31a199b2d6e19d6d518824035d21f48b870373030c363f","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-06-11T17:42:46Z","title_canon_sha256":"596ffe63ef4a8096966f25c11f7af5f37865607dc7693a04463a95a8b3ba3634"},"schema_version":"1.0","source":{"id":"2006.06648","kind":"arxiv","version":3}},"canonical_sha256":"5c991ad7cba45c3f2ec10dda5f653b7656f1db680f92c12fbb82c39d44c13661","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c991ad7cba45c3f2ec10dda5f653b7656f1db680f92c12fbb82c39d44c13661","first_computed_at":"2026-07-05T01:47:31.055744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:47:31.055744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0PvdrrRXuHZirnDwAuAKORucxD60Yae1TV8VbNDea3X/nj1PHxrTYXVZG3gHoi/56K1jO263D0ZkjAYiHQLvBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:47:31.056190Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.06648","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da62bc9af5c2237c5478d08cd229f4c9d54d7d4fbbade000ea1ca21cc05f502c","sha256:2b27f60d35a2e05247ba0cdd6d933e1a78ae32bb1d693dbd2f8069f89bec1ac1"],"state_sha256":"c8c35b5bcc25aba6b1d824518b85f2ac1dbe1dae023f22ca9705643c811c7473"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SnRlWMd22AHiu69OGkwBQcYRRdhN6o5HWTCeq/uYFrlVvbnATmNwnyEQ5dGqhiu5db3mr1f2EyOzweUP+ugtCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T13:32:36.501850Z","bundle_sha256":"c7692b799b83356f7b5dcd218d3ffd8a7d9fa37d41853b7176f7b43270549d2b"}}