{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:UIFRDUL6WLRQRF334LITERBXPG","short_pith_number":"pith:UIFRDUL6","canonical_record":{"source":{"id":"1906.02390","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-06-06T02:52:12Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"d47180a61b0ca66aeea58113886d2a5f34934d5ec840b5837c6206d5a3c2dc3b","abstract_canon_sha256":"78b2c08ab7c22e2ad6920e2f58ef0f865b0ad86645ab95a1ea19ec0f42a10f9f"},"schema_version":"1.0"},"canonical_sha256":"a20b11d17eb2e308977be2d13244377994a0fcd662c2a4193cbb49e9f958e65e","source":{"kind":"arxiv","id":"1906.02390","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02390","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02390v1","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02390","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"UIFRDUL6WLRQ","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"UIFRDUL6WLRQRF33","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"UIFRDUL6","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:UIFRDUL6WLRQRF334LITERBXPG","target":"record","payload":{"canonical_record":{"source":{"id":"1906.02390","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-06-06T02:52:12Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"d47180a61b0ca66aeea58113886d2a5f34934d5ec840b5837c6206d5a3c2dc3b","abstract_canon_sha256":"78b2c08ab7c22e2ad6920e2f58ef0f865b0ad86645ab95a1ea19ec0f42a10f9f"},"schema_version":"1.0"},"canonical_sha256":"a20b11d17eb2e308977be2d13244377994a0fcd662c2a4193cbb49e9f958e65e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:01.353975Z","signature_b64":"SJrjHsiWQFhsI2jtUSQFstIiQrcSOvCvHqI5BFntmDXHoKKVqt5qNGHDfOYqeAlBiLzXIdfkJy4KuDF+ddyEDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a20b11d17eb2e308977be2d13244377994a0fcd662c2a4193cbb49e9f958e65e","last_reissued_at":"2026-05-17T23:44:01.353382Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:01.353382Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.02390","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"StIORjtPRGwieaHL1uF5y7D9Yb1H8eqzWfadUaFjY3xVX9KVPJekTRgXOt45YGCgwmPeVjFTjQXsx8xYVwYZAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T22:38:06.592902Z"},"content_sha256":"1854fbd46331b60a8348c692ebe58df19b935f075466c88b4edbb3bd1e1864a0","schema_version":"1.0","event_id":"sha256:1854fbd46331b60a8348c692ebe58df19b935f075466c88b4edbb3bd1e1864a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:UIFRDUL6WLRQRF334LITERBXPG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-view Knowledge Graph Embedding for Entity Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Lingbing Guo, Muhao Chen, Qingheng Zhang, Wei Hu, Yuzhong Qu, Zequn Sun","submitted_at":"2019-06-06T02:52:12Z","abstract_excerpt":"We study the problem of embedding-based entity alignment between knowledge graphs (KGs). Previous works mainly focus on the relational structure of entities. Some further incorporate another type of features, such as attributes, for refinement. However, a vast of entity features are still unexplored or not equally treated together, which impairs the accuracy and robustness of embedding-based entity alignment. In this paper, we propose a novel framework that unifies multiple views of entities to learn embeddings for entity alignment. Specifically, we embed entities based on the views of entity "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02390","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:44:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QZIJudcuOYSdfd7I1q7aZfsqPH2xVD1RBe9Pn5jctLgBU6nbARpN/+2K0qe0SpLedMpqOSSyam54o7/RgKpwCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T22:38:06.593242Z"},"content_sha256":"3f363dd17014eebbc775e6848ac4365dc732604de3d9c5c14ccd8629019e7036","schema_version":"1.0","event_id":"sha256:3f363dd17014eebbc775e6848ac4365dc732604de3d9c5c14ccd8629019e7036"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UIFRDUL6WLRQRF334LITERBXPG/bundle.json","state_url":"https://pith.science/pith/UIFRDUL6WLRQRF334LITERBXPG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UIFRDUL6WLRQRF334LITERBXPG/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":"2026-05-31T22:38:06Z","links":{"resolver":"https://pith.science/pith/UIFRDUL6WLRQRF334LITERBXPG","bundle":"https://pith.science/pith/UIFRDUL6WLRQRF334LITERBXPG/bundle.json","state":"https://pith.science/pith/UIFRDUL6WLRQRF334LITERBXPG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UIFRDUL6WLRQRF334LITERBXPG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:UIFRDUL6WLRQRF334LITERBXPG","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":"78b2c08ab7c22e2ad6920e2f58ef0f865b0ad86645ab95a1ea19ec0f42a10f9f","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-06-06T02:52:12Z","title_canon_sha256":"d47180a61b0ca66aeea58113886d2a5f34934d5ec840b5837c6206d5a3c2dc3b"},"schema_version":"1.0","source":{"id":"1906.02390","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.02390","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.02390v1","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02390","created_at":"2026-05-17T23:44:01Z"},{"alias_kind":"pith_short_12","alias_value":"UIFRDUL6WLRQ","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"UIFRDUL6WLRQRF33","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"UIFRDUL6","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:3f363dd17014eebbc775e6848ac4365dc732604de3d9c5c14ccd8629019e7036","target":"graph","created_at":"2026-05-17T23:44:01Z","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"},"paper":{"abstract_excerpt":"We study the problem of embedding-based entity alignment between knowledge graphs (KGs). Previous works mainly focus on the relational structure of entities. Some further incorporate another type of features, such as attributes, for refinement. However, a vast of entity features are still unexplored or not equally treated together, which impairs the accuracy and robustness of embedding-based entity alignment. In this paper, we propose a novel framework that unifies multiple views of entities to learn embeddings for entity alignment. Specifically, we embed entities based on the views of entity ","authors_text":"Lingbing Guo, Muhao Chen, Qingheng Zhang, Wei Hu, Yuzhong Qu, Zequn Sun","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-06-06T02:52:12Z","title":"Multi-view Knowledge Graph Embedding for Entity Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02390","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":"sha256:1854fbd46331b60a8348c692ebe58df19b935f075466c88b4edbb3bd1e1864a0","target":"record","created_at":"2026-05-17T23:44:01Z","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":"78b2c08ab7c22e2ad6920e2f58ef0f865b0ad86645ab95a1ea19ec0f42a10f9f","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-06-06T02:52:12Z","title_canon_sha256":"d47180a61b0ca66aeea58113886d2a5f34934d5ec840b5837c6206d5a3c2dc3b"},"schema_version":"1.0","source":{"id":"1906.02390","kind":"arxiv","version":1}},"canonical_sha256":"a20b11d17eb2e308977be2d13244377994a0fcd662c2a4193cbb49e9f958e65e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a20b11d17eb2e308977be2d13244377994a0fcd662c2a4193cbb49e9f958e65e","first_computed_at":"2026-05-17T23:44:01.353382Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:01.353382Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SJrjHsiWQFhsI2jtUSQFstIiQrcSOvCvHqI5BFntmDXHoKKVqt5qNGHDfOYqeAlBiLzXIdfkJy4KuDF+ddyEDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:01.353975Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.02390","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1854fbd46331b60a8348c692ebe58df19b935f075466c88b4edbb3bd1e1864a0","sha256:3f363dd17014eebbc775e6848ac4365dc732604de3d9c5c14ccd8629019e7036"],"state_sha256":"9835b6e721101a757801175b8db4442565c7e7cda861674170d2a3972f412af9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fb/vl/mvEy+LDWj1voTnkCBqPtsWRYGviDmCCoKv7zey6/Qn9VVu9OngiJ4sBju/KCHiZUacxn3WnKFc/dKICQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T22:38:06.596206Z","bundle_sha256":"38028e92082cc743f13d3bb503116854d8ee5fdc80bff77db878404032035c37"}}