{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:KRMDQDRADS5ZX4S55IXPIIJJHS","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":"92c5a433f5482a75a0c221b9e47eb77d10d657cd47ad584e00db7055ab72ac98","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-14T02:13:15Z","title_canon_sha256":"6d087e70eca327dd86f4fe4b2a012eedf54f4970448bb1df68a1ce1dfdc058fb"},"schema_version":"1.0","source":{"id":"1905.05347","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.05347","created_at":"2026-05-17T23:46:16Z"},{"alias_kind":"arxiv_version","alias_value":"1905.05347v1","created_at":"2026-05-17T23:46:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.05347","created_at":"2026-05-17T23:46:16Z"},{"alias_kind":"pith_short_12","alias_value":"KRMDQDRADS5Z","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KRMDQDRADS5ZX4S5","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KRMDQDRA","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:1350b518ffd1eb3c73edca75c28d89250c23ce37022724e7ff2fa786cc9b407d","target":"graph","created_at":"2026-05-17T23:46:16Z","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"},"paper":{"abstract_excerpt":"Graph convolutional neural networks (GCNNs) have been attracting increasing research attention due to its great potential in inference over graph structures. However, insufficient effort has been devoted to the aggregation methods between different convolution graph layers. In this paper, we introduce a graph attribute aggregation network (GAAN) architecture. Different from the conventional pooling operations, a graph-transformation-based aggregation strategy, progressive margin folding, PMF, is proposed for integrating graph features. By distinguishing internal and margin elements, we provide","authors_text":"Haibin Ling, Jingwei Qu, Penghui Sun, Xiaoqing Lyu, Zhi Tang","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-14T02:13:15Z","title":"Graph Attribute Aggregation Network with Progressive Margin Folding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.05347","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":"sha256:7b5448d92b1f5464def33f42dff159ae238105fb85a573f055af8ba293ab4210","target":"record","created_at":"2026-05-17T23:46:16Z","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":"92c5a433f5482a75a0c221b9e47eb77d10d657cd47ad584e00db7055ab72ac98","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-05-14T02:13:15Z","title_canon_sha256":"6d087e70eca327dd86f4fe4b2a012eedf54f4970448bb1df68a1ce1dfdc058fb"},"schema_version":"1.0","source":{"id":"1905.05347","kind":"arxiv","version":1}},"canonical_sha256":"5458380e201cbb9bf25dea2ef421293cb0b3d948ca9a0fd2e13a82b5df3a2acb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5458380e201cbb9bf25dea2ef421293cb0b3d948ca9a0fd2e13a82b5df3a2acb","first_computed_at":"2026-05-17T23:46:16.780701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:16.780701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DNcv6535ocJ7IhfWO5dlDr/IdCgKQJMuLUkpko1qlZNZY0C0qW3ErrbNmmso1gyKlRo1nUFMngG+wwvFSU5oCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:16.781309Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.05347","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7b5448d92b1f5464def33f42dff159ae238105fb85a573f055af8ba293ab4210","sha256:1350b518ffd1eb3c73edca75c28d89250c23ce37022724e7ff2fa786cc9b407d"],"state_sha256":"d78ecbb2e64eb16273928b569456e27aebb8d263ba20bab3d52894b8ff279017"}