{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JGRHXFQKHVK34FM7IQU3H2RUYU","short_pith_number":"pith:JGRHXFQK","canonical_record":{"source":{"id":"2402.13496","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T03:14:45Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"61d995efbaaf38646e480bb1708b3b529c2e403bc0d095ff9a0f285fc2f96b57","abstract_canon_sha256":"1813e6c82d786504ddcdac19b21edd0b5ce2b804860a6cc5c64ddc5750553950"},"schema_version":"1.0"},"canonical_sha256":"49a27b960a3d55be159f4429b3ea34c519b303e4558af0436f27b01b640e3998","source":{"kind":"arxiv","id":"2402.13496","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13496","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13496v2","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13496","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"pith_short_12","alias_value":"JGRHXFQKHVK3","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"pith_short_16","alias_value":"JGRHXFQKHVK34FM7","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"pith_short_8","alias_value":"JGRHXFQK","created_at":"2026-07-05T10:47:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JGRHXFQKHVK34FM7IQU3H2RUYU","target":"record","payload":{"canonical_record":{"source":{"id":"2402.13496","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T03:14:45Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"61d995efbaaf38646e480bb1708b3b529c2e403bc0d095ff9a0f285fc2f96b57","abstract_canon_sha256":"1813e6c82d786504ddcdac19b21edd0b5ce2b804860a6cc5c64ddc5750553950"},"schema_version":"1.0"},"canonical_sha256":"49a27b960a3d55be159f4429b3ea34c519b303e4558af0436f27b01b640e3998","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:47:54.296094Z","signature_b64":"WeaSYMJbf1VxMDTpPq/L2f8sMxWTcvcokdNW1768d5YvaZ9AQ3oU1uGg+7Q3uwQ2UKgCyX84PGwMem+eg4KXCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49a27b960a3d55be159f4429b3ea34c519b303e4558af0436f27b01b640e3998","last_reissued_at":"2026-07-05T10:47:54.295612Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:47:54.295612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.13496","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":"2026-07-05T10:47:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v4RneT6C6Vz7o6Sn703cbbh655kBaJaf58LAzvDwVC/KGzhKFIlvjPVe8mBQaQ+eZ20w4hqjtIpHgLlSCA+CDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T03:01:24.711436Z"},"content_sha256":"b35b07ba2a141000dad43a8eb5714a2ce568a5b7954c9cc6620325015c6b1145","schema_version":"1.0","event_id":"sha256:b35b07ba2a141000dad43a8eb5714a2ce568a5b7954c9cc6620325015c6b1145"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JGRHXFQKHVK34FM7IQU3H2RUYU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Heterogeneous Graph Neural Network on Semantic Tree","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.LG","authors_text":"Elnaz Nouri, Fuchen Liu, Jack W. Stokes, Mingyu Guan, Purvanshi Mehta, Qinlong Luo, Taesoo Kim","submitted_at":"2024-02-21T03:14:45Z","abstract_excerpt":"The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, existing methods ignore a tree hierarchy among metapaths, naturally constituted by different node types and relation types. In this paper, we present HetTree, a novel HGNN that models both the graph structure and heterogeneous aspects in a scalable and effective manner. Specifically, HetTree builds a semantic tree data structure to capture the hierarchy among metapaths. To effectively encode the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13496","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/2402.13496/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":"2026-07-05T10:47:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AdBrzsYL8/UHl/OKf4ymZWbfPLlOPJAnn/KEaf1F7pftgXWPrybwxuqZ9QBrO9fWlcIVbzB6GysZyse29iG5Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T03:01:24.711816Z"},"content_sha256":"0c60317817e3f0158659ad3ace513ddce764cb2edb7eaa4c395380415ab94f1d","schema_version":"1.0","event_id":"sha256:0c60317817e3f0158659ad3ace513ddce764cb2edb7eaa4c395380415ab94f1d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGRHXFQKHVK34FM7IQU3H2RUYU/bundle.json","state_url":"https://pith.science/pith/JGRHXFQKHVK34FM7IQU3H2RUYU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGRHXFQKHVK34FM7IQU3H2RUYU/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":"2026-07-08T03:01:24Z","links":{"resolver":"https://pith.science/pith/JGRHXFQKHVK34FM7IQU3H2RUYU","bundle":"https://pith.science/pith/JGRHXFQKHVK34FM7IQU3H2RUYU/bundle.json","state":"https://pith.science/pith/JGRHXFQKHVK34FM7IQU3H2RUYU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGRHXFQKHVK34FM7IQU3H2RUYU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JGRHXFQKHVK34FM7IQU3H2RUYU","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":"1813e6c82d786504ddcdac19b21edd0b5ce2b804860a6cc5c64ddc5750553950","cross_cats_sorted":["cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T03:14:45Z","title_canon_sha256":"61d995efbaaf38646e480bb1708b3b529c2e403bc0d095ff9a0f285fc2f96b57"},"schema_version":"1.0","source":{"id":"2402.13496","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13496","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13496v2","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13496","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"pith_short_12","alias_value":"JGRHXFQKHVK3","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"pith_short_16","alias_value":"JGRHXFQKHVK34FM7","created_at":"2026-07-05T10:47:54Z"},{"alias_kind":"pith_short_8","alias_value":"JGRHXFQK","created_at":"2026-07-05T10:47:54Z"}],"graph_snapshots":[{"event_id":"sha256:0c60317817e3f0158659ad3ace513ddce764cb2edb7eaa4c395380415ab94f1d","target":"graph","created_at":"2026-07-05T10:47:54Z","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/2402.13496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, existing methods ignore a tree hierarchy among metapaths, naturally constituted by different node types and relation types. In this paper, we present HetTree, a novel HGNN that models both the graph structure and heterogeneous aspects in a scalable and effective manner. Specifically, HetTree builds a semantic tree data structure to capture the hierarchy among metapaths. To effectively encode the ","authors_text":"Elnaz Nouri, Fuchen Liu, Jack W. Stokes, Mingyu Guan, Purvanshi Mehta, Qinlong Luo, Taesoo Kim","cross_cats":["cs.SI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T03:14:45Z","title":"Heterogeneous Graph Neural Network on Semantic Tree"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13496","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:b35b07ba2a141000dad43a8eb5714a2ce568a5b7954c9cc6620325015c6b1145","target":"record","created_at":"2026-07-05T10:47:54Z","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":"1813e6c82d786504ddcdac19b21edd0b5ce2b804860a6cc5c64ddc5750553950","cross_cats_sorted":["cs.SI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T03:14:45Z","title_canon_sha256":"61d995efbaaf38646e480bb1708b3b529c2e403bc0d095ff9a0f285fc2f96b57"},"schema_version":"1.0","source":{"id":"2402.13496","kind":"arxiv","version":2}},"canonical_sha256":"49a27b960a3d55be159f4429b3ea34c519b303e4558af0436f27b01b640e3998","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49a27b960a3d55be159f4429b3ea34c519b303e4558af0436f27b01b640e3998","first_computed_at":"2026-07-05T10:47:54.295612Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:47:54.295612Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WeaSYMJbf1VxMDTpPq/L2f8sMxWTcvcokdNW1768d5YvaZ9AQ3oU1uGg+7Q3uwQ2UKgCyX84PGwMem+eg4KXCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:47:54.296094Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.13496","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b35b07ba2a141000dad43a8eb5714a2ce568a5b7954c9cc6620325015c6b1145","sha256:0c60317817e3f0158659ad3ace513ddce764cb2edb7eaa4c395380415ab94f1d"],"state_sha256":"d62dd268fabafd9389f76ea87260b372e69a444dce5ba2c8c1e9012b79f139e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KyOZFtTg8PEOqhwWI/YEYYPrfRSeG1Zwqr5ZS96U+JV7rTEph45zBYsCwVhKQu1thfHlkZ9eFPPmHQby39b6Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T03:01:24.714431Z","bundle_sha256":"b105cd82d6bb7a75eb706f6b9409b511ce0177388ac52d258f3a041c5121d487"}}