Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:04:19.491683Z
Paper Citation Record · LEDGER
Enhancing the Utility of Higher-Order Information in Relational Learning
As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2502.09570.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact4
- verified fuzzy10
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4c95e085-e40f-423e-823f-fef788944890 · outbound
This paper cites an unresolved cited work.
Enhancing the Utility of Higher-Order Information in Relational Learning Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T21:04:19.760003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0f1af8a8-3abb-4b48-98c9-5fe56b969720 · outbound
This paper cites an unresolved cited work.
Enhancing the Utility of Higher-Order Information in Relational Learning Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T21:04:19.710909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 890ff1d0-3eef-4430-98ca-fb83b3db3fea · outbound
This paper cites an unresolved cited work.
Enhancing the Utility of Higher-Order Information in Relational Learning Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T21:04:19.690549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9c7d7721-eac2-48d3-b0c3-c7a17a1e55cb · outbound
This paper cites UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks.
Enhancing the Utility of Higher-Order Information in Relational Learning UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.418322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaa93eeb-0cd9-489b-903e-264b43428680 · outbound
This paper cites Semi-Supervised Classification with Graph Convolutional Networks.
Enhancing the Utility of Higher-Order Information in Relational Learning Semi-Supervised Classification with Graph Convolutional Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.421493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7de4f69-1d08-4725-956f-63572923f411 · outbound
This paper cites Hypergraph transformer for semi-supervised classification.
Enhancing the Utility of Higher-Order Information in Relational Learning Hypergraph transformer for semi-supervised classification
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.795918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 96d82c44-a2c5-4079-ad39-14cb6982da7a · outbound
This paper cites On the Expressiveness and Generalization of Hypergraph Neural Networks.
Enhancing the Utility of Higher-Order Information in Relational Learning On the Expressiveness and Generalization of Hypergraph Neural Networks
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T21:04:19.579019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5699cb44-d076-41e2-ad72-1aee971d2cb4 · outbound
This paper cites an unresolved cited work.
Enhancing the Utility of Higher-Order Information in Relational Learning Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T21:04:19.680238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aa808313-f534-4901-aac5-5503d9bd21a9 · outbound
This paper cites TopoBench: A Framework for Benchmarking Topological Deep Learning.
Enhancing the Utility of Higher-Order Information in Relational Learning TopoBench: A Framework for Benchmarking Topological Deep Learning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.440016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 166e390d-7b10-4d0c-a0fa-905970ce60d6 · outbound
This paper cites From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness.
Enhancing the Utility of Higher-Order Information in Relational Learning From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.450862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11f2dc9b-021b-4bb4-9f0d-a8a33a7d118e · outbound
This paper cites 36 E.4 Additional Plots Figure 10: The pair 0 of the regular category in BREC.
Enhancing the Utility of Higher-Order Information in Relational Learning 36 E.4 Additional Plots Figure 10: The pair 0 of the regular category in BREC
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.670382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5dfbc92e-dbac-4abe-9438-135404a376f2 · outbound
This paper cites an unresolved cited work.
Enhancing the Utility of Higher-Order Information in Relational Learning Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T21:04:19.769178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1d95beb7-97c1-464b-9d7c-c9bb5c9810fc · outbound
This paper cites The probability of a random walk transitioning from node i to j is given by −Lij = Aij di.
Enhancing the Utility of Higher-Order Information in Relational Learning The probability of a random walk transitioning from node i to j is given by −Lij = Aij di
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.741323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f207c777-355d-4583-b75f-fe9303d9f290 · outbound
This paper cites B.2.2 UniGIN UniGIN also follows the two-phase scheme (see Eq.
Enhancing the Utility of Higher-Order Information in Relational Learning B.2.2 UniGIN UniGIN also follows the two-phase scheme (see Eq
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.731051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 71053da8-11ef-4d1b-b17e-277510e4369a · outbound
This paper cites We use the same pre-processed hypergraphs as in Yadati et al.
Enhancing the Utility of Higher-Order Information in Relational Learning We use the same pre-processed hypergraphs as in Yadati et al
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.700616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 65378c3e-ea7e-41b0-98e9-1c45c9a4ec6e · outbound
This paper cites How Powerful are Graph Neural Networks?.
Enhancing the Utility of Higher-Order Information in Relational Learning How Powerful are Graph Neural Networks?
Reference 1968
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.447195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 205732f6-2fd8-478e-81d4-59078510f3e7 · outbound
This paper cites typhimurium TA98.
Enhancing the Utility of Higher-Order Information in Relational Learning typhimurium TA98
Reference 1973
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.721322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5aab17d2-b986-49d0-822d-8dc3c16fd87e · outbound
This paper cites Graph Neural Networks with Learnable Structural and Positional Representations.
Enhancing the Utility of Higher-Order Information in Relational Learning Graph Neural Networks with Learnable Structural and Positional Representations
Reference 1991
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.403666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b701a01d-e3da-48a2-94a0-97730238700a · outbound
This paper cites Here, we focus on clique expansion, which we empirically found to be the best performing expansion.
Enhancing the Utility of Higher-Order Information in Relational Learning Here, we focus on clique expansion, which we empirically found to be the best performing expansion
Reference 2006
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.777820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cafc9aed-8b0e-4e14-94c0-a93948c7d24b · outbound
This paper cites Topological Deep Learning: Going Beyond Graph Data.
Enhancing the Utility of Higher-Order Information in Relational Learning Topological Deep Learning: Going Beyond Graph Data
Reference 2008
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.414649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82fb33b6-4b4c-455d-b474-920625ca47e0 · outbound
This paper cites A new model for learning in graph do- mains.
Enhancing the Utility of Higher-Order Information in Relational Learning A new model for learning in graph do- mains
Reference 2011
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.804379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 18d3f76b-9455-43eb-a211-65e970622ede · outbound
This paper cites Forman’s ricci curvature-from networks to hypernetworks.
Enhancing the Utility of Higher-Order Information in Relational Learning Forman’s ricci curvature-from networks to hypernetworks
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.787460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 08e7011a-3561-4be6-bada-c2afdafec7f4 · outbound
This paper cites An Empirical Study of Realized GNN Expressiveness.
Enhancing the Utility of Higher-Order Information in Relational Learning An Empirical Study of Realized GNN Expressiveness
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.443714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef62a23f-54d2-4842-aaba-61b92e587454 · outbound
This paper cites The Dirichlet energy E(f ) of a scalar function on a hypergraph is defined as E(f ) = 1 2 X e∈E X {u,v}⊆e 1 |e| f (u)p d(u) − f (v)p d(v) !2.
Enhancing the Utility of Higher-Order Information in Relational Learning The Dirichlet energy E(f ) of a scalar function on a hypergraph is defined as E(f ) = 1 2 X e∈E X {u,v}⊆e 1 |e| f (u)p d(u) − f (v)p d(v) !2
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T21:04:19.750801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6855e94a-50f6-4e7a-905c-e300d8417f12 · outbound
This paper cites Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework.
Enhancing the Utility of Higher-Order Information in Relational Learning Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.399795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f8e073e-f5e0-48b2-9208-b9d7a9433c13 · outbound
This paper cites Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data.
Enhancing the Utility of Higher-Order Information in Relational Learning Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data
Reference 2021
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T21:04:19.660057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8ad7d776-db9c-4312-b908-e3848e2d208a · outbound
This paper cites A simple yet effective baseline for non-attributed graph classification.
Enhancing the Utility of Higher-Order Information in Relational Learning A simple yet effective baseline for non-attributed graph classification
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:04:19.395944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6045a8b6-d41a-46a5-b864-cb64a045a483 · outbound
This paper cites HyperNetX: A Python package for modeling complex network data as hypergraphs.
Enhancing the Utility of Higher-Order Information in Relational Learning HyperNetX: A Python package for modeling complex network data as hypergraphs
Reference 2023
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T21:04:19.565265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b06f1287-8e75-4e46-9425-f599d9c7c4fa · outbound
This paper cites Chemically inspired Erd\H{o}s-R\'enyi oriented hypergraphs.
Enhancing the Utility of Higher-Order Information in Relational Learning Chemically inspired Erd\H{o}s-R\'enyi oriented hypergraphs
Reference 2024
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T21:04:19.619073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.