{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TSKN3NGCAUOTGBARR3MCMHGSX2","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":"21958bc1ca82f3da827f8c6dd74bf3afee528893287013da58c0e7cbf3f8f57b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-21T08:11:40Z","title_canon_sha256":"8932ae5942935a9356e9beb1eae57479293b0074ae7053ab21e18eb666c9de24"},"schema_version":"1.0","source":{"id":"2306.12091","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.12091","created_at":"2026-07-05T06:23:10Z"},{"alias_kind":"arxiv_version","alias_value":"2306.12091v1","created_at":"2026-07-05T06:23:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.12091","created_at":"2026-07-05T06:23:10Z"},{"alias_kind":"pith_short_12","alias_value":"TSKN3NGCAUOT","created_at":"2026-07-05T06:23:10Z"},{"alias_kind":"pith_short_16","alias_value":"TSKN3NGCAUOTGBAR","created_at":"2026-07-05T06:23:10Z"},{"alias_kind":"pith_short_8","alias_value":"TSKN3NGC","created_at":"2026-07-05T06:23:10Z"}],"graph_snapshots":[{"event_id":"sha256:7836ec31a7c98195083499498972f95175034b0f79c64810cf26fca30ec6b771","target":"graph","created_at":"2026-07-05T06:23:10Z","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/2306.12091/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"It has been discovered that Graph Convolutional Networks (GCNs) encounter a remarkable drop in performance when multiple layers are piled up. The main factor that accounts for why deep GCNs fail lies in over-smoothing, which isolates the network output from the input with the increase of network depth, weakening expressivity and trainability. In this paper, we start by investigating refined measures upon DropEdge -- an existing simple yet effective technique to relieve over-smoothing. We term our method as DropEdge++ for its two structure-aware samplers in contrast to DropEdge: layer-dependent","authors_text":"Fuchun Sun, Jiaqi Han, Junzhou Huang, Tingyang Xu, Wenbing Huang, Yu Rong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-21T08:11:40Z","title":"Structure-Aware DropEdge Towards Deep Graph Convolutional Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.12091","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:d8a5702344885b1c0817d18c267ba78e66ef17a18464c8fb08bbbdee9db37afb","target":"record","created_at":"2026-07-05T06:23:10Z","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":"21958bc1ca82f3da827f8c6dd74bf3afee528893287013da58c0e7cbf3f8f57b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-21T08:11:40Z","title_canon_sha256":"8932ae5942935a9356e9beb1eae57479293b0074ae7053ab21e18eb666c9de24"},"schema_version":"1.0","source":{"id":"2306.12091","kind":"arxiv","version":1}},"canonical_sha256":"9c94ddb4c2051d3304118ed8261cd2beb4a7ddfa1dd04f1120f2d45e0412ad3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c94ddb4c2051d3304118ed8261cd2beb4a7ddfa1dd04f1120f2d45e0412ad3b","first_computed_at":"2026-07-05T06:23:10.501115Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:23:10.501115Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"j08uzbwVKKbzwLd5QdALVBmTfQvIdjtax4CHu96bvodHjZFXHga2NKLNUvrPa8SL0de1OhQ3fYt7Zgb29yuGCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:23:10.501460Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.12091","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d8a5702344885b1c0817d18c267ba78e66ef17a18464c8fb08bbbdee9db37afb","sha256:7836ec31a7c98195083499498972f95175034b0f79c64810cf26fca30ec6b771"],"state_sha256":"08b52e04e22c9d7188c7d51fd9cde6cac2b25227bcc2dbce96a71cdadbb10a4e"}