{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:HZ7Z7GH4Z6S5SSPE3XDO2UJASL","short_pith_number":"pith:HZ7Z7GH4","canonical_record":{"source":{"id":"2012.08698","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2020-12-16T02:07:38Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"8ba4a52f8df9f0dbb6ca37810e3c6cfa9c11448c2780ca703e44101b2c762263","abstract_canon_sha256":"d6b2022f0d7cc078df0fa6e86015d6cbfd2f17738a367d874440459fc0bc1ae1"},"schema_version":"1.0"},"canonical_sha256":"3e7f9f98fccfa5d949e4ddc6ed512092f8f953633f3a6eac9ff077bdd130b9ed","source":{"kind":"arxiv","id":"2012.08698","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.08698","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"arxiv_version","alias_value":"2012.08698v1","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.08698","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"pith_short_12","alias_value":"HZ7Z7GH4Z6S5","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"pith_short_16","alias_value":"HZ7Z7GH4Z6S5SSPE","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"pith_short_8","alias_value":"HZ7Z7GH4","created_at":"2026-07-05T02:00:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:HZ7Z7GH4Z6S5SSPE3XDO2UJASL","target":"record","payload":{"canonical_record":{"source":{"id":"2012.08698","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2020-12-16T02:07:38Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"8ba4a52f8df9f0dbb6ca37810e3c6cfa9c11448c2780ca703e44101b2c762263","abstract_canon_sha256":"d6b2022f0d7cc078df0fa6e86015d6cbfd2f17738a367d874440459fc0bc1ae1"},"schema_version":"1.0"},"canonical_sha256":"3e7f9f98fccfa5d949e4ddc6ed512092f8f953633f3a6eac9ff077bdd130b9ed","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:00:02.387287Z","signature_b64":"crXTOBKtx2eaDb9XsU/Eck+eb7JN4gbKOzeWYJ9Pc1oNh5ed/MgyWQFCG8mGBZwUvku0590Gy7AE3MgO/qrSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e7f9f98fccfa5d949e4ddc6ed512092f8f953633f3a6eac9ff077bdd130b9ed","last_reissued_at":"2026-07-05T02:00:02.386895Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:00:02.386895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.08698","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":"2026-07-05T02:00:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E+pwhGqwgtisOe79ZQtOuonLGQYvFnRUNVDeGfOQNBWQB1x530iY8WPdOKhcXS5RyXEQ4BlJKNjzNnqgbCaQDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:29:17.336362Z"},"content_sha256":"54be5096d61de91e83016198437aa8f806eab9a73e8c8d60a5e4bc9889bbaee9","schema_version":"1.0","event_id":"sha256:54be5096d61de91e83016198437aa8f806eab9a73e8c8d60a5e4bc9889bbaee9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:HZ7Z7GH4Z6S5SSPE3XDO2UJASL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"John Shi, Jos\\'e M.F. Moura, Lavender Yao Jiang, Mark Cheung, Oren Wright","submitted_at":"2020-12-16T02:07:38Z","abstract_excerpt":"Graph neural networks (GNNs) extend convolutional neural networks (CNNs) to graph-based data. A question that arises is how much performance improvement does the underlying graph structure in the GNN provide over the CNN (that ignores this graph structure). To address this question, we introduce edge entropy and evaluate how good an indicator it is for possible performance improvement of GNNs over CNNs. Our results on node classification with synthetic and real datasets show that lower values of edge entropy predict larger expected performance gains of GNNs over CNNs, and, conversely, higher e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.08698","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/2012.08698/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":"2026-07-05T02:00:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"raS0FfAiQvaahv5s8Bl0DxTZxDs1koA99hnzmxtC4hwvepzYz4a4QKnPs2Wpvo8tYV6Fv8A4YC7NH4+3R5O3DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T02:29:17.336876Z"},"content_sha256":"4717589feb45a8f03725e46726827ab838ef5b7a8021e4c6780a14a39fc89b66","schema_version":"1.0","event_id":"sha256:4717589feb45a8f03725e46726827ab838ef5b7a8021e4c6780a14a39fc89b66"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HZ7Z7GH4Z6S5SSPE3XDO2UJASL/bundle.json","state_url":"https://pith.science/pith/HZ7Z7GH4Z6S5SSPE3XDO2UJASL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HZ7Z7GH4Z6S5SSPE3XDO2UJASL/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":"2026-08-01T02:29:17Z","links":{"resolver":"https://pith.science/pith/HZ7Z7GH4Z6S5SSPE3XDO2UJASL","bundle":"https://pith.science/pith/HZ7Z7GH4Z6S5SSPE3XDO2UJASL/bundle.json","state":"https://pith.science/pith/HZ7Z7GH4Z6S5SSPE3XDO2UJASL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HZ7Z7GH4Z6S5SSPE3XDO2UJASL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:HZ7Z7GH4Z6S5SSPE3XDO2UJASL","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":"d6b2022f0d7cc078df0fa6e86015d6cbfd2f17738a367d874440459fc0bc1ae1","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2020-12-16T02:07:38Z","title_canon_sha256":"8ba4a52f8df9f0dbb6ca37810e3c6cfa9c11448c2780ca703e44101b2c762263"},"schema_version":"1.0","source":{"id":"2012.08698","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.08698","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"arxiv_version","alias_value":"2012.08698v1","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.08698","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"pith_short_12","alias_value":"HZ7Z7GH4Z6S5","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"pith_short_16","alias_value":"HZ7Z7GH4Z6S5SSPE","created_at":"2026-07-05T02:00:02Z"},{"alias_kind":"pith_short_8","alias_value":"HZ7Z7GH4","created_at":"2026-07-05T02:00:02Z"}],"graph_snapshots":[{"event_id":"sha256:4717589feb45a8f03725e46726827ab838ef5b7a8021e4c6780a14a39fc89b66","target":"graph","created_at":"2026-07-05T02:00:02Z","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/2012.08698/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph neural networks (GNNs) extend convolutional neural networks (CNNs) to graph-based data. A question that arises is how much performance improvement does the underlying graph structure in the GNN provide over the CNN (that ignores this graph structure). To address this question, we introduce edge entropy and evaluate how good an indicator it is for possible performance improvement of GNNs over CNNs. Our results on node classification with synthetic and real datasets show that lower values of edge entropy predict larger expected performance gains of GNNs over CNNs, and, conversely, higher e","authors_text":"John Shi, Jos\\'e M.F. Moura, Lavender Yao Jiang, Mark Cheung, Oren Wright","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2020-12-16T02:07:38Z","title":"Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.08698","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":"sha256:54be5096d61de91e83016198437aa8f806eab9a73e8c8d60a5e4bc9889bbaee9","target":"record","created_at":"2026-07-05T02:00:02Z","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":"d6b2022f0d7cc078df0fa6e86015d6cbfd2f17738a367d874440459fc0bc1ae1","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2020-12-16T02:07:38Z","title_canon_sha256":"8ba4a52f8df9f0dbb6ca37810e3c6cfa9c11448c2780ca703e44101b2c762263"},"schema_version":"1.0","source":{"id":"2012.08698","kind":"arxiv","version":1}},"canonical_sha256":"3e7f9f98fccfa5d949e4ddc6ed512092f8f953633f3a6eac9ff077bdd130b9ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e7f9f98fccfa5d949e4ddc6ed512092f8f953633f3a6eac9ff077bdd130b9ed","first_computed_at":"2026-07-05T02:00:02.386895Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:00:02.386895Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"crXTOBKtx2eaDb9XsU/Eck+eb7JN4gbKOzeWYJ9Pc1oNh5ed/MgyWQFCG8mGBZwUvku0590Gy7AE3MgO/qrSBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:00:02.387287Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.08698","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54be5096d61de91e83016198437aa8f806eab9a73e8c8d60a5e4bc9889bbaee9","sha256:4717589feb45a8f03725e46726827ab838ef5b7a8021e4c6780a14a39fc89b66"],"state_sha256":"506c37de3c2d5cfa22e5b2eb3fad41a8b55be343f281d251989de92001b14d04"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hlV305GKw42BoRT070U3LKBTrFRxiwI8hP7g9maWYxT5+ngbQWpOrZ+yczBNf+OpkaIG5M0cgMBy8qsqHCofBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T02:29:17.343981Z","bundle_sha256":"65fd0108d65a79d3d8ec20345a4219e5a019be7507988c0c2ee4c0a72ca45a15"}}