{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BVMHTOCIJDSK4DE2RFTGTBDTQQ","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":"13a87a5858c9eeb5f50f3d5860f98c4121be6bd218c53444f811aa6781a5ad14","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-18T13:11:35Z","title_canon_sha256":"d0f92817cc75e2dfa929e34917a53c736e5bb1aa2ff06e35dcfb85dc5c2c1a4e"},"schema_version":"1.0","source":{"id":"2202.09177","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.09177","created_at":"2026-07-05T04:22:54Z"},{"alias_kind":"arxiv_version","alias_value":"2202.09177v2","created_at":"2026-07-05T04:22:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.09177","created_at":"2026-07-05T04:22:54Z"},{"alias_kind":"pith_short_12","alias_value":"BVMHTOCIJDSK","created_at":"2026-07-05T04:22:54Z"},{"alias_kind":"pith_short_16","alias_value":"BVMHTOCIJDSK4DE2","created_at":"2026-07-05T04:22:54Z"},{"alias_kind":"pith_short_8","alias_value":"BVMHTOCI","created_at":"2026-07-05T04:22:54Z"}],"graph_snapshots":[{"event_id":"sha256:8055cb6afeb4a11f77110fee9f99651c4508a2d6cc580f2a2489d6fe7db59399","target":"graph","created_at":"2026-07-05T04:22:54Z","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/2202.09177/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Heterogeneous Graph Neural Network (HGNN) has been successfully employed in various tasks, but we cannot accurately know the importance of different design dimensions of HGNNs due to diverse architectures and applied scenarios. Besides, in the research community of HGNNs, implementing and evaluating various tasks still need much human effort. To mitigate these issues, we first propose a unified framework covering most HGNNs, consisting of three components: heterogeneous linear transformation, heterogeneous graph transformation, and heterogeneous message passing layer. Then we build a platform ","authors_text":"Cheng Yang, Chuan Shi, Fengqi Liang, Huan Zhao, Quan Gan, Tianyu Zhao, Xiao Wang, Yibo Li, Yingxia Shao, Zhenyi Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-18T13:11:35Z","title":"Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.09177","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:cad914cd4c51b6bdaa88781a80f0fed7fcde927072769bdb5404d7902739f4f5","target":"record","created_at":"2026-07-05T04:22:54Z","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":"13a87a5858c9eeb5f50f3d5860f98c4121be6bd218c53444f811aa6781a5ad14","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-02-18T13:11:35Z","title_canon_sha256":"d0f92817cc75e2dfa929e34917a53c736e5bb1aa2ff06e35dcfb85dc5c2c1a4e"},"schema_version":"1.0","source":{"id":"2202.09177","kind":"arxiv","version":2}},"canonical_sha256":"0d5879b84848e4ae0c9a896669847384048ce39b87f7f391938d464634c2181d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d5879b84848e4ae0c9a896669847384048ce39b87f7f391938d464634c2181d","first_computed_at":"2026-07-05T04:22:54.398743Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:22:54.398743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FbAro5fQ9ndht+K9aDuwEGUG78XAOVoYsMmPRSA2SrTQBi4i657nZ2LU4vDCJ1JVJia6H4nFqaALJlnEwPa2DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:22:54.399231Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.09177","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cad914cd4c51b6bdaa88781a80f0fed7fcde927072769bdb5404d7902739f4f5","sha256:8055cb6afeb4a11f77110fee9f99651c4508a2d6cc580f2a2489d6fe7db59399"],"state_sha256":"eaa5bed0f8ff365bbd712aadf025890d4b38c3d25bf3de66987fae0c3c308935"}