Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:44:06.068965Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2501.18739.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:44:06.068965Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T05:14:19.689437Z
A source-named dated measurement, never combined with another source.
Source: cited_works
13 of 13 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 76bcda94-237c-4e11-8eff-67faca18ab17 · outbound
Beyond Message Passing: Neural Graph Pattern Machine (3) Using a mean aggregator over encoded patterns instead of a transformer
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 47298c45-4f20-408f-90ff-ae867c5140a1 · outbound
Beyond Message Passing: Neural Graph Pattern Machine Lastly, graph transformers (GTs) (Kreuzer et al., 2021; Ying et al., 2021; Dwivedi & Bresson, 2020; Rampasek et al., 2022; He et al., 2023; Chen et al.,
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 692bbbd1-a007-4d40-babc-6e1da95f3618 · outbound
Beyond Message Passing: Neural Graph Pattern Machine This represents a fundamental advantage over message passing GNNs in terms of expressiveness
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 09748cca-c538-4187-ac39-3bf922880826 · outbound
Beyond Message Passing: Neural Graph Pattern Machine Unresolved cited work
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c94f023-276d-4100-8ec5-ef9ac2e7104e · outbound
Beyond Message Passing: Neural Graph Pattern Machine Unresolved cited work
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cff5a3ee-729b-452b-8774-cc7eecb409a8 · outbound
Beyond Message Passing: Neural Graph Pattern Machine Each GPU processes a single partition, and peer-to-peer communication is used to exchange learned node embeddings among GPUs
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c89f2fd8-8248-4ff9-80b0-93b6d13de5c7 · outbound
Beyond Message Passing: Neural Graph Pattern Machine Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 538f740f-ab9f-4571-9eb6-a0f447f2527f · outbound
Beyond Message Passing: Neural Graph Pattern Machine Unresolved cited work
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d3de9b5a-e16c-44b6-b44f-450404c279fe · outbound
Beyond Message Passing: Neural Graph Pattern Machine Given our focus on learning graph patterns, this discussion emphasizes the issues of expressiveness and notable advancements
Reference 2018
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 22a5ce77-025d-4972-a3f8-9678f3a36d13 · outbound
Beyond Message Passing: Neural Graph Pattern Machine Limitations of Message Passing and Recent Advances The message passing paradigm (Kipf & Welling, 2017; Hamilton et al., 2017; Veliˇckovi´c et al.,
Reference 2021
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 165219a9-d564-4a47-ade5-eae8df85c81f · outbound
Beyond Message Passing: Neural Graph Pattern Machine Leveraging a global attention mechanism, GTs can capture correlations between any pair of nodes, enabling effective modeling of long-range dependencies
Reference 2022
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3f60ca66-bff6-4b65-8760-8695d1c48941 · outbound
Beyond Message Passing: Neural Graph Pattern Machine Adaptive Expansion for Hypergraph Learning
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 594f55bd-6b0a-4cdf-a1a1-fb63862101fd · outbound
Beyond Message Passing: Neural Graph Pattern Machine Unresolved cited work
Reference 2024
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e14ce150-5a24-49de-a6f4-73af70091584 · inbound
Consistency Deep Equilibrium Models Beyond Message Passing: Neural Graph Pattern Machine
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.