{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:REZBS34VDGSDHFGECW5YDSNLCT","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":"37897aa1ed2a04d4a1a6da65e94ad171d619d858409f5324cc6803d2bf462579","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2020-11-30T15:03:47Z","title_canon_sha256":"d2f55dfdb4a4194b4b65f93bca849fa7d8bbc6ac7b3cfa43d94b1ed5b8064a48"},"schema_version":"1.0","source":{"id":"2011.14867","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.14867","created_at":"2026-07-05T01:55:31Z"},{"alias_kind":"arxiv_version","alias_value":"2011.14867v1","created_at":"2026-07-05T01:55:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.14867","created_at":"2026-07-05T01:55:31Z"},{"alias_kind":"pith_short_12","alias_value":"REZBS34VDGSD","created_at":"2026-07-05T01:55:31Z"},{"alias_kind":"pith_short_16","alias_value":"REZBS34VDGSDHFGE","created_at":"2026-07-05T01:55:31Z"},{"alias_kind":"pith_short_8","alias_value":"REZBS34V","created_at":"2026-07-05T01:55:31Z"}],"graph_snapshots":[{"event_id":"sha256:60b9f3dc7a70cedfb88b2a58b570162b3854e06f766df028ced5195938f7da10","target":"graph","created_at":"2026-07-05T01:55:31Z","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/2011.14867/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Heterogeneous graphs (HGs) also known as heterogeneous information networks have become ubiquitous in real-world scenarios; therefore, HG embedding, which aims to learn representations in a lower-dimension space while preserving the heterogeneous structures and semantics for downstream tasks (e.g., node/graph classification, node clustering, link prediction), has drawn considerable attentions in recent years. In this survey, we perform a comprehensive review of the recent development on HG embedding methods and techniques. We first introduce the basic concepts of HG and discuss the unique chal","authors_text":"Chuan Shi, Deyu Bo, Philip S. Yu, Shaohua Fan, Xiao Wang, Yanfang Ye","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2020-11-30T15:03:47Z","title":"A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.14867","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":"sha256:5f03843d7c61a11afee43a791018d5efa466e231e6ec552ae098fa9e6034d197","target":"record","created_at":"2026-07-05T01:55:31Z","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":"37897aa1ed2a04d4a1a6da65e94ad171d619d858409f5324cc6803d2bf462579","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2020-11-30T15:03:47Z","title_canon_sha256":"d2f55dfdb4a4194b4b65f93bca849fa7d8bbc6ac7b3cfa43d94b1ed5b8064a48"},"schema_version":"1.0","source":{"id":"2011.14867","kind":"arxiv","version":1}},"canonical_sha256":"8932196f9519a43394c415bb81c9ab14e6bd1cbd3dc0a80b0dbd9d658d176d60","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8932196f9519a43394c415bb81c9ab14e6bd1cbd3dc0a80b0dbd9d658d176d60","first_computed_at":"2026-07-05T01:55:31.578876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:55:31.578876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V+KJMQ7U7Yf/uJ836UeLUO7fBGIoaWa5LlfL7GJoy52PEVr0igDd3gAXaiLkDQzAuiHiO0MfS31q9Pk9w3/YBA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:55:31.579288Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.14867","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f03843d7c61a11afee43a791018d5efa466e231e6ec552ae098fa9e6034d197","sha256:60b9f3dc7a70cedfb88b2a58b570162b3854e06f766df028ced5195938f7da10"],"state_sha256":"a0e3df77b378270d3c2cf1ea4a409b835ff905e7f0a1382ba0a29edf06b648c4"}