{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NDNLCL4KZPG7MORCVNOBOAP5OT","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":"274b2181845f55fc2805786e37bf34bcab122b649195836c72d1f9305195e595","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-26T09:47:03Z","title_canon_sha256":"380ac67ede185a44c7d60a202b3d53096294baf68552389148f4c56c88c6505d"},"schema_version":"1.0","source":{"id":"2305.16780","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.16780","created_at":"2026-07-05T06:15:32Z"},{"alias_kind":"arxiv_version","alias_value":"2305.16780v2","created_at":"2026-07-05T06:15:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.16780","created_at":"2026-07-05T06:15:32Z"},{"alias_kind":"pith_short_12","alias_value":"NDNLCL4KZPG7","created_at":"2026-07-05T06:15:32Z"},{"alias_kind":"pith_short_16","alias_value":"NDNLCL4KZPG7MORC","created_at":"2026-07-05T06:15:32Z"},{"alias_kind":"pith_short_8","alias_value":"NDNLCL4K","created_at":"2026-07-05T06:15:32Z"}],"graph_snapshots":[{"event_id":"sha256:df01a148c2cf52b89c07b95482352b4fd7ef843774606d402cf723cb54061926","target":"graph","created_at":"2026-07-05T06:15:32Z","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/2305.16780/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph neural networks (GNNs) have shown promising results across various graph learning tasks, but they often assume homophily, which can result in poor performance on heterophilic graphs. The connected nodes are likely to be from different classes or have dissimilar features on heterophilic graphs. In this paper, we propose a novel GNN that incorporates the principle of heterophily by modeling the flow of information on nodes using the convection-diffusion equation (CDE). This allows the CDE to take into account both the diffusion of information due to homophily and the ``convection'' of info","authors_text":"Kai Zhao, Qiyu Kang, Rui She, Sijie Wang, Wee Peng Tay, Yang Song","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-26T09:47:03Z","title":"Graph Neural Convection-Diffusion with Heterophily"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.16780","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":"sha256:139f126302894cf6f850d6103dd69f46eb39009610d2b544eabc6055ad63c8d4","target":"record","created_at":"2026-07-05T06:15:32Z","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":"274b2181845f55fc2805786e37bf34bcab122b649195836c72d1f9305195e595","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-26T09:47:03Z","title_canon_sha256":"380ac67ede185a44c7d60a202b3d53096294baf68552389148f4c56c88c6505d"},"schema_version":"1.0","source":{"id":"2305.16780","kind":"arxiv","version":2}},"canonical_sha256":"68dab12f8acbcdf63a22ab5c1701fd74e9b439b1aaa2b91f087847e43c0c64a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68dab12f8acbcdf63a22ab5c1701fd74e9b439b1aaa2b91f087847e43c0c64a1","first_computed_at":"2026-07-05T06:15:32.839424Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:15:32.839424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UrYpBmjwT3kfWdymkVJ57BFAulAeVUYsSeU4vRI36c9B+8W5UQdTSB8QGDEWVTxYuclZcI4rGmKHGvSwimC9Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:15:32.839979Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.16780","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:139f126302894cf6f850d6103dd69f46eb39009610d2b544eabc6055ad63c8d4","sha256:df01a148c2cf52b89c07b95482352b4fd7ef843774606d402cf723cb54061926"],"state_sha256":"38f8e658fa8470d85266de18ae05acfcbfe065a6a683247152144ccda5723b16"}