Paper Citation Record · LEDGER

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning

As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.05702.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.05702 v3

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:09:31.217778Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:19:24.765498Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T09:00:59.977893Z

Reference resolution

48 of 48 outbound references displayed

verified exact1
verified fuzzy28
unresolved18
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78950311-27a8-44d9-a9f5-fe52eec29253 · outbound

This paper cites Hypergraph theory,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Hypergraph theory,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.850815Z

Source-reported events for the cited work

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Observation 7ec38953-9620-48f5-bb96-c146bfaff9e1 · outbound

This paper cites 3-d object retrieval and recognition with hypergraph analysis,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning 3-d object retrieval and recognition with hypergraph analysis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.836711Z

Source-reported events for the cited work

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Observation ded7e1ae-febc-4624-b2fe-ab3111d43d8c · outbound

This paper cites Learning multi-granular hypergraphs for video-based person re-identification,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Learning multi-granular hypergraphs for video-based person re-identification,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.824206Z

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Observation f0e02465-c601-4c6d-9a7c-9d34f8a6d960 · outbound

This paper cites Multitask hypergraph convolutional networks: A heterogeneous traffic prediction framework,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Multitask hypergraph convolutional networks: A heterogeneous traffic prediction framework,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.811932Z

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Observation 50b59c4e-b01a-4451-adbf-7af029740dc4 · outbound

This paper cites Hypergraph neural net- works,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Hypergraph neural net- works,

Reference 5

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Source-reported events for the cited work

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Observation 6ad945df-3fcc-4137-bd53-8e535a484906 · outbound

This paper cites Hypergraph learning: Methods and practices,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Hypergraph learning: Methods and practices,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.789053Z

Source-reported events for the cited work

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Observation c1578f4b-50c9-4a4b-8e4f-dc5e8e77f4ca · outbound

This paper cites Hypergraph collaborative network on vertices and hyperedges,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Hypergraph collaborative network on vertices and hyperedges,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.773280Z

Source-reported events for the cited work

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Observation 621e13fe-186e-49f5-a617-4e6a74f8e795 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Semi-supervised classification with graph convolutional networks,

Reference 8

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Observation 906d9f57-76b8-479f-ba15-cbd81e2a0856 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Convolutional neural networks on graphs with fast localized spectral filtering,

Reference 9

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Source-reported events for the cited work

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Observation b2d1dc04-5121-4c18-996d-15b94a30dca3 · outbound

This paper cites Graph learning: A survey,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Graph learning: A survey,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:09:31.049672Z

Source-reported events for the cited work

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Observation c9a5b3e7-8028-4f3e-a4fb-492877a4c07f · outbound

This paper cites Deep learning on graphs: A survey,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Deep learning on graphs: A survey,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.735083Z

Source-reported events for the cited work

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Observation 67ef9cad-bdef-491f-bff2-914bdbb7d7aa · outbound

This paper cites A comprehensive survey on graph neural networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning A comprehensive survey on graph neural networks,

Reference 12

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Source-reported events for the cited work

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Observation b1f33a82-3db6-43fe-91bd-a7d88dcbe698 · outbound

This paper cites Explainability in graph neural networks: A taxonomic survey,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Explainability in graph neural networks: A taxonomic survey,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:09:31.064499Z

Source-reported events for the cited work

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Observation 9dd04160-4a7d-4d73-904b-c5544b6c4576 · outbound

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Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:09:31.700431Z

Source-reported events for the cited work

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Observation 0285e668-0d0c-4351-a2ef-b8a9a299efde · outbound

This paper cites Toward a spectral theory of cellular sheaves,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Toward a spectral theory of cellular sheaves,

Reference 15

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Source-reported events for the cited work

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Observation 095e147e-d8f7-408d-b1e5-3de673355449 · outbound

This paper cites Laplacians of cellular sheaves: Theory and applications,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Laplacians of cellular sheaves: Theory and applications,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.675718Z

Source-reported events for the cited work

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Observation d71ff753-16f9-4209-9d00-5d5aca271fbd · outbound

This paper cites Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in gnns,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Neural sheaf diffusion: A topological perspective on heterophily and oversmoothing in gnns,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.661249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3c65edf-b73b-4461-abb9-5cc97aabaec7 · outbound

This paper cites Sheaf neural networks with connection lapla- cians,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Sheaf neural networks with connection lapla- cians,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.646065Z

Source-reported events for the cited work

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Observation cc8b851b-8207-4dca-9d33-0bdc85c68571 · outbound

This paper cites The simpliciality of higher-order networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning The simpliciality of higher-order networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.613407Z

Source-reported events for the cited work

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Observation f3cf3e28-57af-4855-8d5d-188ffb2a65e9 · outbound

This paper cites Simplicial convolutional neural networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Simplicial convolutional neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.597810Z

Source-reported events for the cited work

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Observation c1415536-a719-4c63-801b-7d88d91685b4 · outbound

This paper cites Persistent sheaf laplacians,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Persistent sheaf laplacians,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.581949Z

Source-reported events for the cited work

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Observation f84a314f-a732-436e-9bab-d62cd9778702 · outbound

This paper cites Persistent sheaf cohomology.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Persistent sheaf cohomology

Reference 22

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Observation 3371e83e-a4d9-44be-b765-49cca8d95bc3 · outbound

This paper cites Weisfeiler and lehman go topological: Message passing simplicial networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Weisfeiler and lehman go topological: Message passing simplicial networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.569911Z

Source-reported events for the cited work

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Observation 0e2104d3-9881-409e-a9c4-28364b110596 · outbound

This paper cites Beyond homophily in graph neural networks: Current limitations and effective designs,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Beyond homophily in graph neural networks: Current limitations and effective designs,

Reference 24

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Observation 82c7a571-2f71-4723-a9a7-40ef99c3f0ba · outbound

This paper cites Revisiting Graph Neural Networks: All We Have is Low-Pass Filters.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Revisiting Graph Neural Networks: All We Have is Low-Pass Filters

Reference 25

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Observation 70e5cf59-9030-4893-b136-b96739d0756b · outbound

This paper cites Graph neural networks exponentially lose expressive power for node classification,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Graph neural networks exponentially lose expressive power for node classification,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.549217Z

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Observation 19404ee0-9c54-437a-9fd7-1bc07af2e78f · outbound

This paper cites Sheaf neural networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Sheaf neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.532708Z

Source-reported events for the cited work

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Observation ab2e350b-15ec-4723-98d2-0578bc60bdb6 · outbound

This paper cites Hypergcn: A new method for training graph convolutional networks on hypergraphs,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Hypergcn: A new method for training graph convolutional networks on hypergraphs,

Reference 28

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Observation 3632f444-0b69-44a4-bbcb-60a0efd2ca40 · outbound

This paper cites HNHN: Hypergraph Networks with Hyperedge Neurons.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning HNHN: Hypergraph Networks with Hyperedge Neurons

Reference 29

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Observation b6c0756d-dff8-4928-a38a-e3dc1ded1dcc · outbound

This paper cites Hypergraph convolution and hyper- graph attention,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Hypergraph convolution and hyper- graph attention,

Reference 30

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Observation 3a4e4c96-dd98-4d06-b638-fca0b7d82056 · outbound

This paper cites Learnable hyper- graph laplacian for hypergraph learning,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Learnable hyper- graph laplacian for hypergraph learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.500638Z

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Observation 465fca1a-206e-49ab-8199-89c1385e01fd · outbound

This paper cites Hgnn+: General hypergraph neural networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Hgnn+: General hypergraph neural networks,

Reference 32

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Observation 90b9c3fb-0f42-442c-b913-64697475a184 · outbound

This paper cites Hypergraph convolution on nodes-hyperedges network for semi-supervised node classification,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Hypergraph convolution on nodes-hyperedges network for semi-supervised node classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.475012Z

Source-reported events for the cited work

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Observation e9ff5e2a-81a7-4ea8-85af-352285fa1cb1 · outbound

This paper cites Collabo- rative contrastive learning for hypergraph node classification,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Collabo- rative contrastive learning for hypergraph node classification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.462228Z

Source-reported events for the cited work

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Observation 38c70333-a883-4ea6-b744-31d829d47bed · outbound

This paper cites Sheaf hypergraph net- works,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Sheaf hypergraph net- works,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.450027Z

Source-reported events for the cited work

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Observation 7e17b8dc-ae17-475b-b35d-51d1c569e3b2 · outbound

This paper cites Higher-dimensional models of networks.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Higher-dimensional models of networks

Reference 36

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Observation d6343c7b-906c-4bbe-b0ee-8d786af06bed · outbound

This paper cites Cellular sheaf Laplacians on the set of simplices of symmetric simplicial set induced by hypergraph.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Cellular sheaf Laplacians on the set of simplices of symmetric simplicial set induced by hypergraph

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-15T23:09:31.259996Z

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Observation 0fe8713a-f266-4672-849b-261cfa13667e · outbound

This paper cites Simplicial complex neural networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Simplicial complex neural networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.438019Z

Source-reported events for the cited work

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Observation c32fe026-3442-45cd-b919-b6c98f85abec · outbound

This paper cites Finite sets and symmetric simplicial sets.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Finite sets and symmetric simplicial sets

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.426055Z

Source-reported events for the cited work

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Observation 3bef4305-88cd-4dc1-af8d-6af75938f78e · outbound

This paper cites Weisfeiler and lehman go cellular: Cw networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Weisfeiler and lehman go cellular: Cw networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.413534Z

Source-reported events for the cited work

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Observation 40a244ac-9454-4474-bc48-a91f6ed1bd76 · outbound

This paper cites High-order pooling for graph neural networks with tensor decomposition,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning High-order pooling for graph neural networks with tensor decomposition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.400349Z

Source-reported events for the cited work

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Observation 0e4bbe79-28ff-487b-b479-99fc26fcb1d3 · outbound

This paper cites Legislative cosponsorship networks in the us house and senate,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Legislative cosponsorship networks in the us house and senate,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.386957Z

Source-reported events for the cited work

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Observation 1f4d80b9-df70-455b-a871-474d0626edb1 · outbound

This paper cites Geom- gcn: Geometric graph convolutional networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Geom- gcn: Geometric graph convolutional networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.373178Z

Source-reported events for the cited work

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Observation cc9080ae-6d6b-4c1d-be94-c07627a1abd7 · outbound

This paper cites Beyond pairwise clustering,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Beyond pairwise clustering,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.360127Z

Source-reported events for the cited work

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Observation 5559a288-20a6-4e3c-a940-a65b19f3db27 · outbound

This paper cites Learning with hypergraphs: Clus- tering, classification, and embedding,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Learning with hypergraphs: Clus- tering, classification, and embedding,

Reference 45

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Source-reported events for the cited work

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Observation a2a5d13e-ae6c-48bc-91ef-4209b0a318f2 · outbound

This paper cites Semi-supervised hyper- graph node classification on hypergraph line expansion,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Semi-supervised hyper- graph node classification on hypergraph line expansion,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T23:09:31.213475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc66a14-4e3d-4a91-ab32-60bb5079275f · outbound

This paper cites You are allset: A multiset learning framework for hypergraph neural networks,.

Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning You are allset: A multiset learning framework for hypergraph neural networks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:09:31.330227Z

Source-reported events for the cited work

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Observation 733a9466-573a-4a8b-8988-92ac1adedeb6 · outbound

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Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Unresolved cited work

Reference 2022

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Source-reported events for the cited work

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Pith citing papers

Observation 546fd630-f5eb-4331-b8ad-161440ad72a6 · inbound

Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing cites this paper.

Hypergraph Neural Diffusion: A PDE-Inspired Framework for Hypergraph Message Passing Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning

Reference 11

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Source-reported events for the cited work

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