{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TXEAVF7OPC6FOMLQLQH7GUYJPS","short_pith_number":"pith:TXEAVF7O","canonical_record":{"source":{"id":"2105.11122","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-24T07:01:41Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"5b549286840d73c93dfc6b92f7e34c1bc05ddc0db29c13c000466ba99fbbf16a","abstract_canon_sha256":"d4f8f1cf9fb7795e1783b2ed2d70f11042fa88f8a63209c937854c37275f3b45"},"schema_version":"1.0"},"canonical_sha256":"9dc80a97ee78bc5731705c0ff353097ca8c6b85ccf7daf375927b68c61ef94f7","source":{"kind":"arxiv","id":"2105.11122","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.11122","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"arxiv_version","alias_value":"2105.11122v2","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.11122","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"pith_short_12","alias_value":"TXEAVF7OPC6F","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"pith_short_16","alias_value":"TXEAVF7OPC6FOMLQ","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"pith_short_8","alias_value":"TXEAVF7O","created_at":"2026-07-05T04:15:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TXEAVF7OPC6FOMLQLQH7GUYJPS","target":"record","payload":{"canonical_record":{"source":{"id":"2105.11122","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-24T07:01:41Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"5b549286840d73c93dfc6b92f7e34c1bc05ddc0db29c13c000466ba99fbbf16a","abstract_canon_sha256":"d4f8f1cf9fb7795e1783b2ed2d70f11042fa88f8a63209c937854c37275f3b45"},"schema_version":"1.0"},"canonical_sha256":"9dc80a97ee78bc5731705c0ff353097ca8c6b85ccf7daf375927b68c61ef94f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:15:09.070679Z","signature_b64":"uDhd/t+Cvd8AOQGS43NFVggxMKfsDI+VmAxI6M2AGIE19F40B+8qnPULBNvzwDL4pzMc4Rru1BQ6OrucK9YtCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9dc80a97ee78bc5731705c0ff353097ca8c6b85ccf7daf375927b68c61ef94f7","last_reissued_at":"2026-07-05T04:15:09.070179Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:15:09.070179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.11122","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:15:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qRoE8Gzmv2NRL9Yk/nQVko3z04KPYFWuIA6OR9lyvUQVkzc95Y9CSVV1DoIZSV3h1GSM1xXxgw4e3Hx0RMUeCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T13:43:02.619894Z"},"content_sha256":"e1b9377c07b9b71e45840a7cec1d73e5cf83ca9fe98a80d9e7236c707a4fd026","schema_version":"1.0","event_id":"sha256:e1b9377c07b9b71e45840a7cec1d73e5cf83ca9fe98a80d9e7236c707a4fd026"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TXEAVF7OPC6FOMLQLQH7GUYJPS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Heterogeneous Graph Representation Learning with Relation Awareness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.LG","authors_text":"Bowen Du, Chuanren Liu, Hui Xiong, Leilei Sun, Le Yu, Weifeng Lv","submitted_at":"2021-05-24T07:01:41Z","abstract_excerpt":"Representation learning on heterogeneous graphs aims to obtain meaningful node representations to facilitate various downstream tasks, such as node classification and link prediction. Existing heterogeneous graph learning methods are primarily developed by following the propagation mechanism of node representations. There are few efforts on studying the role of relations for improving the learning of more fine-grained node representations. Indeed, it is important to collaboratively learn the semantic representations of relations and discern node representations with respect to different relati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.11122","kind":"arxiv","version":2},"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/2105.11122/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":"2026-07-05T04:15:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3sO5A8nLgb8nOcKdpZs6gfZDekhuzTCO11Yr+KijEfDFKUBHbnsQztkkrUmfFuJRx8ItiYRxk2dN5SAc5fGtAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T13:43:02.620511Z"},"content_sha256":"7719c63b22a9397b9a33cfe0962266e2e7786afb51d3be4778165f16ec3477d2","schema_version":"1.0","event_id":"sha256:7719c63b22a9397b9a33cfe0962266e2e7786afb51d3be4778165f16ec3477d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TXEAVF7OPC6FOMLQLQH7GUYJPS/bundle.json","state_url":"https://pith.science/pith/TXEAVF7OPC6FOMLQLQH7GUYJPS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TXEAVF7OPC6FOMLQLQH7GUYJPS/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":"2026-08-15T13:43:02Z","links":{"resolver":"https://pith.science/pith/TXEAVF7OPC6FOMLQLQH7GUYJPS","bundle":"https://pith.science/pith/TXEAVF7OPC6FOMLQLQH7GUYJPS/bundle.json","state":"https://pith.science/pith/TXEAVF7OPC6FOMLQLQH7GUYJPS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TXEAVF7OPC6FOMLQLQH7GUYJPS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TXEAVF7OPC6FOMLQLQH7GUYJPS","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":"d4f8f1cf9fb7795e1783b2ed2d70f11042fa88f8a63209c937854c37275f3b45","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-24T07:01:41Z","title_canon_sha256":"5b549286840d73c93dfc6b92f7e34c1bc05ddc0db29c13c000466ba99fbbf16a"},"schema_version":"1.0","source":{"id":"2105.11122","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.11122","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"arxiv_version","alias_value":"2105.11122v2","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.11122","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"pith_short_12","alias_value":"TXEAVF7OPC6F","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"pith_short_16","alias_value":"TXEAVF7OPC6FOMLQ","created_at":"2026-07-05T04:15:09Z"},{"alias_kind":"pith_short_8","alias_value":"TXEAVF7O","created_at":"2026-07-05T04:15:09Z"}],"graph_snapshots":[{"event_id":"sha256:7719c63b22a9397b9a33cfe0962266e2e7786afb51d3be4778165f16ec3477d2","target":"graph","created_at":"2026-07-05T04:15:09Z","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/2105.11122/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Representation learning on heterogeneous graphs aims to obtain meaningful node representations to facilitate various downstream tasks, such as node classification and link prediction. Existing heterogeneous graph learning methods are primarily developed by following the propagation mechanism of node representations. There are few efforts on studying the role of relations for improving the learning of more fine-grained node representations. Indeed, it is important to collaboratively learn the semantic representations of relations and discern node representations with respect to different relati","authors_text":"Bowen Du, Chuanren Liu, Hui Xiong, Leilei Sun, Le Yu, Weifeng Lv","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-24T07:01:41Z","title":"Heterogeneous Graph Representation Learning with Relation Awareness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.11122","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:e1b9377c07b9b71e45840a7cec1d73e5cf83ca9fe98a80d9e7236c707a4fd026","target":"record","created_at":"2026-07-05T04:15:09Z","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":"d4f8f1cf9fb7795e1783b2ed2d70f11042fa88f8a63209c937854c37275f3b45","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-24T07:01:41Z","title_canon_sha256":"5b549286840d73c93dfc6b92f7e34c1bc05ddc0db29c13c000466ba99fbbf16a"},"schema_version":"1.0","source":{"id":"2105.11122","kind":"arxiv","version":2}},"canonical_sha256":"9dc80a97ee78bc5731705c0ff353097ca8c6b85ccf7daf375927b68c61ef94f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9dc80a97ee78bc5731705c0ff353097ca8c6b85ccf7daf375927b68c61ef94f7","first_computed_at":"2026-07-05T04:15:09.070179Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:15:09.070179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uDhd/t+Cvd8AOQGS43NFVggxMKfsDI+VmAxI6M2AGIE19F40B+8qnPULBNvzwDL4pzMc4Rru1BQ6OrucK9YtCw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:15:09.070679Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.11122","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1b9377c07b9b71e45840a7cec1d73e5cf83ca9fe98a80d9e7236c707a4fd026","sha256:7719c63b22a9397b9a33cfe0962266e2e7786afb51d3be4778165f16ec3477d2"],"state_sha256":"c655bde291981d67b66baec9ad29ca1075535f63ad4c36229fcc5afb0a04e1cb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o0Fk6btufe5U0lITdaVrH2lt2Emz/WlkjGk4dM9vhrd2c03jyK44t17l3PrBub3Zh1YeQz2pZRDfOFY4BFvqAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T13:43:02.626297Z","bundle_sha256":"b5b5dd8459b4692a5718cd0977b8fb3751a9f62dddd5501cbd717324ed4ff447"}}