{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3MHDNJFZZSHLA34BPELTGTWCOQ","short_pith_number":"pith:3MHDNJFZ","canonical_record":{"source":{"id":"2405.15218","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T05:15:46Z","cross_cats_sorted":[],"title_canon_sha256":"8e1f02af3f9ee0da7bb75e51f3872f7a1ff39b38b4a189c263e4831e4a0eef1f","abstract_canon_sha256":"a89c2e779c56bda4d8b4cf0a14d0352e7f6c2e99fd34bf8cc549a39678b3b3e5"},"schema_version":"1.0"},"canonical_sha256":"db0e36a4b9cc8eb06f817917334ec2741b2ffd4b47461c5e90613156db0b3c94","source":{"kind":"arxiv","id":"2405.15218","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.15218","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"arxiv_version","alias_value":"2405.15218v1","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.15218","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"pith_short_12","alias_value":"3MHDNJFZZSHL","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"pith_short_16","alias_value":"3MHDNJFZZSHLA34B","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"pith_short_8","alias_value":"3MHDNJFZ","created_at":"2026-07-05T08:22:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3MHDNJFZZSHLA34BPELTGTWCOQ","target":"record","payload":{"canonical_record":{"source":{"id":"2405.15218","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T05:15:46Z","cross_cats_sorted":[],"title_canon_sha256":"8e1f02af3f9ee0da7bb75e51f3872f7a1ff39b38b4a189c263e4831e4a0eef1f","abstract_canon_sha256":"a89c2e779c56bda4d8b4cf0a14d0352e7f6c2e99fd34bf8cc549a39678b3b3e5"},"schema_version":"1.0"},"canonical_sha256":"db0e36a4b9cc8eb06f817917334ec2741b2ffd4b47461c5e90613156db0b3c94","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:22:46.577507Z","signature_b64":"0uRL/bnJY1h7cJin6z5CZhIZKRl3Cs9Jf4EPzcHnDGXsH7MP3jpsijQx2ZKySYSBE2sZFEPEifnxGRVcdi9FDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db0e36a4b9cc8eb06f817917334ec2741b2ffd4b47461c5e90613156db0b3c94","last_reissued_at":"2026-07-05T08:22:46.576947Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:22:46.576947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.15218","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":"2026-07-05T08:22:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zZIseqGiCTHScSeReKGCYqbiVDKHY8B3INI7kBbbnluKJjOlB6i701as6g6JKhTfq5r9du30MmOBFZDihGmnBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:11:28.443526Z"},"content_sha256":"857299a3ed62d764075f12cd0492f4b405a21904c1c62e6d42b1e8a2763a8096","schema_version":"1.0","event_id":"sha256:857299a3ed62d764075f12cd0492f4b405a21904c1c62e6d42b1e8a2763a8096"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3MHDNJFZZSHLA34BPELTGTWCOQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AGS-GNN: Attribute-guided Sampling for Graph Neural Networks","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Alex Pothen, Edoardo Serra, Mahantesh M Halappanavar, Siddhartha Shankar Das, S M Ferdous","submitted_at":"2024-05-24T05:15:46Z","abstract_excerpt":"We propose AGS-GNN, a novel attribute-guided sampling algorithm for Graph Neural Networks (GNNs) that exploits node features and connectivity structure of a graph while simultaneously adapting for both homophily and heterophily in graphs. (In homophilic graphs vertices of the same class are more likely to be connected, and vertices of different classes tend to be linked in heterophilic graphs.) While GNNs have been successfully applied to homophilic graphs, their application to heterophilic graphs remains challenging. The best-performing GNNs for heterophilic graphs do not fit the sampling par"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.15218","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2405.15218/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":"2026-07-05T08:22:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FbywKJoZHeX7LVkbLNNEUdBE+uvPo4xGrqvrGp3Mj8uq5wxOROBLgrzI7/RZeRqHTKdNoYZvHzOmxDy4RXLMCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T14:11:28.443895Z"},"content_sha256":"cb8855edc2c03d0c808da20b4d58d5dcbe26b17fd4a596ac9fb77cf3f64b347e","schema_version":"1.0","event_id":"sha256:cb8855edc2c03d0c808da20b4d58d5dcbe26b17fd4a596ac9fb77cf3f64b347e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3MHDNJFZZSHLA34BPELTGTWCOQ/bundle.json","state_url":"https://pith.science/pith/3MHDNJFZZSHLA34BPELTGTWCOQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3MHDNJFZZSHLA34BPELTGTWCOQ/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":"2026-07-07T14:11:28Z","links":{"resolver":"https://pith.science/pith/3MHDNJFZZSHLA34BPELTGTWCOQ","bundle":"https://pith.science/pith/3MHDNJFZZSHLA34BPELTGTWCOQ/bundle.json","state":"https://pith.science/pith/3MHDNJFZZSHLA34BPELTGTWCOQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3MHDNJFZZSHLA34BPELTGTWCOQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3MHDNJFZZSHLA34BPELTGTWCOQ","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":"a89c2e779c56bda4d8b4cf0a14d0352e7f6c2e99fd34bf8cc549a39678b3b3e5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T05:15:46Z","title_canon_sha256":"8e1f02af3f9ee0da7bb75e51f3872f7a1ff39b38b4a189c263e4831e4a0eef1f"},"schema_version":"1.0","source":{"id":"2405.15218","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.15218","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"arxiv_version","alias_value":"2405.15218v1","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.15218","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"pith_short_12","alias_value":"3MHDNJFZZSHL","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"pith_short_16","alias_value":"3MHDNJFZZSHLA34B","created_at":"2026-07-05T08:22:46Z"},{"alias_kind":"pith_short_8","alias_value":"3MHDNJFZ","created_at":"2026-07-05T08:22:46Z"}],"graph_snapshots":[{"event_id":"sha256:cb8855edc2c03d0c808da20b4d58d5dcbe26b17fd4a596ac9fb77cf3f64b347e","target":"graph","created_at":"2026-07-05T08:22:46Z","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/2405.15218/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose AGS-GNN, a novel attribute-guided sampling algorithm for Graph Neural Networks (GNNs) that exploits node features and connectivity structure of a graph while simultaneously adapting for both homophily and heterophily in graphs. (In homophilic graphs vertices of the same class are more likely to be connected, and vertices of different classes tend to be linked in heterophilic graphs.) While GNNs have been successfully applied to homophilic graphs, their application to heterophilic graphs remains challenging. The best-performing GNNs for heterophilic graphs do not fit the sampling par","authors_text":"Alex Pothen, Edoardo Serra, Mahantesh M Halappanavar, Siddhartha Shankar Das, S M Ferdous","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T05:15:46Z","title":"AGS-GNN: Attribute-guided Sampling for Graph Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.15218","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":"sha256:857299a3ed62d764075f12cd0492f4b405a21904c1c62e6d42b1e8a2763a8096","target":"record","created_at":"2026-07-05T08:22:46Z","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":"a89c2e779c56bda4d8b4cf0a14d0352e7f6c2e99fd34bf8cc549a39678b3b3e5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-24T05:15:46Z","title_canon_sha256":"8e1f02af3f9ee0da7bb75e51f3872f7a1ff39b38b4a189c263e4831e4a0eef1f"},"schema_version":"1.0","source":{"id":"2405.15218","kind":"arxiv","version":1}},"canonical_sha256":"db0e36a4b9cc8eb06f817917334ec2741b2ffd4b47461c5e90613156db0b3c94","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db0e36a4b9cc8eb06f817917334ec2741b2ffd4b47461c5e90613156db0b3c94","first_computed_at":"2026-07-05T08:22:46.576947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:46.576947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0uRL/bnJY1h7cJin6z5CZhIZKRl3Cs9Jf4EPzcHnDGXsH7MP3jpsijQx2ZKySYSBE2sZFEPEifnxGRVcdi9FDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:46.577507Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.15218","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:857299a3ed62d764075f12cd0492f4b405a21904c1c62e6d42b1e8a2763a8096","sha256:cb8855edc2c03d0c808da20b4d58d5dcbe26b17fd4a596ac9fb77cf3f64b347e"],"state_sha256":"3032578ea20ab1cb33449bc05642be0108c45bea689e8b6cb1de7c710a3bb86a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ckaEltipkRoAYHGdZtgsAyrLN5nZRk2Xnvralk2mwqPlmgcon5fgqUUiMbtkLCE4SZtQ/C3Yiq/MHuMaCTkhDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T14:11:28.445953Z","bundle_sha256":"6b5afb8eb2bf1f2468c6fb42a19269f19ecb2a37fd75580843fa180c4ca7d7f2"}}