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Paper Citation Record · LEDGER

Heat Kernel Goes Topological

As of 7 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2507.12380.

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

pith.paper-citation-record.v1
2507.12380 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:55:21.981389Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T12:42:15.594346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:06:09.585703Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact1
  • verified fuzzy39
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 802ead6f-509e-47e2-955c-af20d82be8c3 · outbound

This paper cites Kipf and Max Welling.

Heat Kernel Goes Topological Kipf and Max Welling

Reference 1

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raw_fallback, observed 2026-08-06T16:55:23.747079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.069357Z digest=sha256:c0701cb7fa7d94b622bc12c19e84ec47995cc3f9d8307d3849c26cb9c9a6e88f

Observation b02637da-307c-42cd-9f07-ec290288e69f · outbound

This paper cites Provably powerful graph networks.Advances in neural information processing systems, 32, 2019.

Heat Kernel Goes Topological Provably powerful graph networks.Advances in neural information processing systems, 32, 2019

Reference 2

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raw_fallback, observed 2026-08-06T16:55:23.717282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.076933Z digest=sha256:03c59cd1e1ab091c5f84105f01839e10aaecc198abb7db556ea3d0a0e1cd4dcc

Observation 3d1a3fdc-7582-4d4b-a8ce-fbbd5fdbc1dc · outbound

This paper cites Demystifying higher-order graph neural networks.

Heat Kernel Goes Topological Demystifying higher-order graph neural networks

Reference 3

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:55:19.083778Z digest=sha256:efe6fd7378ea2a46fe55d85ff60596e65aa811024ad9f09297f8e39170012bac

Observation 87a4083b-a278-426a-a5ef-303bdb6f0742 · outbound

This paper cites Topological neural networks go persistent, equivariant, and continuous.International Conference on Machine Learning, 2024.

Heat Kernel Goes Topological Topological neural networks go persistent, equivariant, and continuous.International Conference on Machine Learning, 2024

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.097780Z digest=sha256:ca8f01c3e132228950cd1e30e2bf140d7e35441bd6aa95ec5321288e1d50d695

Observation c2623f49-a13b-4388-a1ae-1fc91d0d34bd · outbound

This paper cites Bronstein, and Haggai Maron.

Heat Kernel Goes Topological Bronstein, and Haggai Maron

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.112627Z digest=sha256:493e09ea49f536c46dcdd09093dfd201cf66a910cd6307fd36d501fdd52d3a08

Observation 4be9a96c-9abf-46f2-9a2b-425ae09c6579 · outbound

This paper cites Cell Complex Neural Networks.

Heat Kernel Goes Topological Cell Complex Neural Networks

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:55:19.134952Z digest=sha256:ba9599d4ff479893982eb2bd0ed12754a99232a011a2996c349f682a370233e3

Observation 1e5f9121-2344-470a-9a48-9e852bae350c · outbound

This paper cites Convergence of invariant graph networks.

Heat Kernel Goes Topological Convergence of invariant graph networks

Reference 8

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no resolver link, observed 2026-08-06T16:55:19.150655Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:55:19.150655Z digest=sha256:8c987af81efe242ea23edfc91b20d7f6c8a6d0fbf6a8d2fd567174840f7242d5

Observation 05b80758-e861-44ad-b3bd-fe85f9390788 · outbound

This paper cites Invariant and equivariantgraphnetworks.

Heat Kernel Goes Topological Invariant and equivariantgraphnetworks

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.598331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.167540Z digest=sha256:3aee3570fbddd72fd29c9c9da05f2fadf2e8246ca0feda61eb2a27a5ebc82046

Observation 6c4fe4fb-3299-4d57-90fb-809a1b984080 · outbound

This paper cites Aconciseandprovablyinformative multi-scalesignaturebasedonheatdiffusion.

Heat Kernel Goes Topological Aconciseandprovablyinformative multi-scalesignaturebasedonheatdiffusion

Reference 10

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raw_fallback, observed 2026-08-06T16:55:23.563667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.180692Z digest=sha256:928b39137312d715568fce5cffca13b57e69bafedaeed6428b29308658c9a6fc

Observation a7906dd0-3988-448c-ad45-1aa155ba4344 · outbound

This paper cites Representing edge flows on graphs via sparse cell complexes.

Heat Kernel Goes Topological Representing edge flows on graphs via sparse cell complexes

Reference 11

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raw_fallback, observed 2026-08-06T16:55:23.532130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.196713Z digest=sha256:8a031c02f94c298097f58e447519870696c6b08b2bc9af0232d2857bac5f5910

Observation f5bf2f35-46c6-4ee2-a9f9-2f20d06de812 · outbound

This paper cites Graph laplacians and their convergence on random neighborhood graphs.Journal of Machine Learning Research, 8(6), 2007.

Heat Kernel Goes Topological Graph laplacians and their convergence on random neighborhood graphs.Journal of Machine Learning Research, 8(6), 2007

Reference 12

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:55:19.216258Z digest=sha256:9c2186a5cc7ba5e58f14878672895ae7068d828366d3130cb1fd393c791c4f0a

Observation 1225ca40-316c-4dd0-84f5-b6d1fc2a0564 · outbound

This paper cites Global intrinsic symmetries of shapes.

Heat Kernel Goes Topological Global intrinsic symmetries of shapes

Reference 13

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raw_fallback, observed 2026-08-06T16:55:23.497347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.231062Z digest=sha256:60b9798e162c3f22d3999b309597095a0fbe3ea009ba2b44f56c18439cb7c57c

Observation 7cf78c94-9c0f-42ca-949d-216bceddee75 · outbound

This paper cites Witten–morse theory for cell complexes.Topology, 37(5):945–979, 1998.

Heat Kernel Goes Topological Witten–morse theory for cell complexes.Topology, 37(5):945–979, 1998

Reference 14

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raw_fallback, observed 2026-08-06T16:55:23.473946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.246486Z digest=sha256:a3c3d1e8ac3e9c466847475d350ab8cf6f278140328b9eb66d41cb5a4c05a6c3

Observation 8597b42d-f95e-4ff1-a763-615aaeaa1f59 · outbound

This paper cites Multilayer feedforward networks are universal approximators.Neural networks, 2(5):359–366, 1989.

Heat Kernel Goes Topological Multilayer feedforward networks are universal approximators.Neural networks, 2(5):359–366, 1989

Reference 15

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source=pdf_text observed=2026-08-06T16:55:19.268014Z digest=sha256:f15913120eb347382f6de641fbb3860cda270f4b8f8c61ecfe488c01c00a4a11

Observation cf4420d0-d673-4355-aa47-e024122490aa · outbound

This paper cites Are transformers universal approximators of sequence-to-sequence functions? International Conference on Learning Representations, 2020.

Heat Kernel Goes Topological Are transformers universal approximators of sequence-to-sequence functions? International Conference on Learning Representations, 2020

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.428279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.289442Z digest=sha256:62549ff0a54683b1a1667bb910f794358eeabfd989872c88650657060682403d

Observation 5e072f32-60c4-4326-85d5-05c02530c478 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Heat Kernel Goes Topological How Powerful are Graph Neural Networks?

Reference 17

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source=pdf_text observed=2026-08-06T16:55:19.305492Z digest=sha256:e51595ff24d249a7b5b2c1c00e89966d7c408d36b828e35572c43a7f92765113

Observation 347b389d-4b4a-44e1-8096-723a9d8a161e · outbound

This paper cites Higher-Order Message Passing for Glycan Representation Learning.

Heat Kernel Goes Topological Higher-Order Message Passing for Glycan Representation Learning

Reference 18

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local_arxiv, observed 2026-08-06T16:55:22.508178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cb76f9d9-47f0-435f-9881-05d58ac18d03 · outbound

This paper cites Graph laplacian for semi-supervised learning.

Heat Kernel Goes Topological Graph laplacian for semi-supervised learning

Reference 19

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raw_fallback, observed 2026-08-06T16:55:23.408195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:19.403633Z digest=sha256:d6ed54d4106bf52456a7a43ec6c221cf725e4be944afc5618d0980bc08b567ec

Observation e63e154e-4c2e-4a90-9fed-a57c3eed1dfa · outbound

This paper cites American Mathematical Soc., 1997.

Heat Kernel Goes Topological American Mathematical Soc., 1997

Reference 20

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source=pdf_text observed=2026-08-06T16:55:19.466042Z digest=sha256:f1215f3fdaed5b34fc905131f5ebe7d35cb077f52b13d26fcbf77243d40f292f

Observation fd46561b-b37e-43e1-a594-7bc90e85ebbe · outbound

This paper cites On spectral clustering: Analysis and an algorithm.

Heat Kernel Goes Topological On spectral clustering: Analysis and an algorithm

Reference 21

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source=pdf_text observed=2026-08-06T16:55:19.561552Z digest=sha256:ca2d7e2e0fb6761a465110afa12670c44322eefb510016891355ade1699151d5

Observation 327f41a0-2d00-4781-8261-9a1ec3d18a64 · outbound

This paper cites Laplacian eigenmaps for dimensionality reduction and data representation.Neural computation, 15(6):1373–1396, 2003.

Heat Kernel Goes Topological Laplacian eigenmaps for dimensionality reduction and data representation.Neural computation, 15(6):1373–1396, 2003

Reference 22

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source=pdf_text observed=2026-08-06T16:55:19.650797Z digest=sha256:eb06b746c1b488dc01c569ce792f903b14d4ba2fe1848be28224a8dd41f3f9ff

Observation 88d05665-d25c-481b-90c8-5ca7929ffaf2 · outbound

This paper cites Diffusion maps.Applied and computational harmonic analysis, 21(1):5–30, 2006.

Heat Kernel Goes Topological Diffusion maps.Applied and computational harmonic analysis, 21(1):5–30, 2006

Reference 23

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source=pdf_text observed=2026-08-06T16:55:19.706919Z digest=sha256:e1626f09d5ca383d8bde207a302c0c09065d8d32be386563be0836faa5dbbd53

Observation 80fc069f-1c3f-43a2-a7b4-1f77b3613cd9 · outbound

This paper cites In International conference on machine learning, pages 6878–6917.

Heat Kernel Goes Topological In International conference on machine learning, pages 6878–6917

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 702a640c-6c00-4165-af45-895ec1112988 · outbound

This paper cites Robust Graph Neural Networks using Weighted Graph Laplacian.

Heat Kernel Goes Topological Robust Graph Neural Networks using Weighted Graph Laplacian

Reference 25

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Observation 233f3a47-23db-4142-a042-db9499abf9ca · outbound

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

Heat Kernel Goes Topological Weisfeiler and lehman go topological: Message passing simplicial networks

Reference 26

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Observation 66f3ed92-3478-4867-81f2-0ea658266a2a · outbound

This paper cites E(n) equivariant topological neural networks.

Heat Kernel Goes Topological E(n) equivariant topological neural networks

Reference 27

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raw_fallback, observed 2026-08-06T16:55:23.259311Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:20.042090Z digest=sha256:8785ce01a5c577d5da39797febb463baf550b11abde554bc51526762e3991aba

Observation a8f129a5-9787-4b86-a331-90c26b937e8b · outbound

This paper cites Principled simplicial neural networks for trajectory prediction.

Heat Kernel Goes Topological Principled simplicial neural networks for trajectory prediction

Reference 28

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raw_fallback, observed 2026-08-06T16:55:23.230554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation add9053d-1a20-443f-8295-32656a3f2778 · outbound

This paper cites Convolutional Learning on Simplicial Complexes.

Heat Kernel Goes Topological Convolutional Learning on Simplicial Complexes

Reference 29

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source=pdf_text observed=2026-08-06T16:55:20.182304Z digest=sha256:284b754d55a3d3dd1d35f3bf86878641290d14d52979417f630bfe7c19f9a11e

Observation 15f6b49e-8add-4cad-9e99-ca4926ee8b33 · outbound

This paper cites Simplicial Neural Networks.

Heat Kernel Goes Topological Simplicial Neural Networks

Reference 30

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no resolver link, observed 2026-08-06T16:55:20.249289Z

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source=pdf_text observed=2026-08-06T16:55:20.249289Z digest=sha256:a2b47aac9f80f6ea87032ef1775b17790b5b431238e885713589aaee1ed05341

Observation 94a1caa2-03fb-43a7-8896-778b41c86515 · outbound

This paper cites Simplicial Attention Networks.

Heat Kernel Goes Topological Simplicial Attention Networks

Reference 31

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no resolver link, observed 2026-08-06T16:55:20.316753Z

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source=pdf_text observed=2026-08-06T16:55:20.316753Z digest=sha256:3501ab5eb5f7f41bc54b4643c1333c1f66ed0cf28bd0787a24af0bfda35d2447

Observation de88a193-786e-4499-87e3-c8053830b0d7 · outbound

This paper cites Generalized simplicial attention neural networks.IEEE Transactions on Signal and Information Processing over Networks, 2024.

Heat Kernel Goes Topological Generalized simplicial attention neural networks.IEEE Transactions on Signal and Information Processing over Networks, 2024

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.211729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation faacf2d1-7ec7-46ea-8019-1744e206acfd · outbound

This paper cites Simplicial Representation Learning with Neural $k$-Forms.

Heat Kernel Goes Topological Simplicial Representation Learning with Neural $k$-Forms

Reference 33

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source=pdf_text observed=2026-08-06T16:55:20.448865Z digest=sha256:084e65691229abf7f134db7e9f1212787b261c89ea5b2bcf00b87ffba4416d92

Observation 5e55a703-e0a5-4f98-8641-6f28a29dee45 · outbound

This paper cites Higher-order topological directionality and directed simplicial neural networks.

Heat Kernel Goes Topological Higher-order topological directionality and directed simplicial neural networks

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.192408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a0f4b254-46db-47f0-9426-0222fd3443e7 · outbound

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

Heat Kernel Goes Topological Weisfeiler and lehman go cellular: Cw networks

Reference 35

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source=pdf_text observed=2026-08-06T16:55:20.579238Z digest=sha256:6adb75cb0a27195953c1cb77abc5f82290d1e3047cddf6a0b7a192382df6e48d

Observation dbbe5286-a426-4014-b52c-1c6ccf663c5e · outbound

This paper cites Topological Deep Learning: Going Beyond Graph Data.

Heat Kernel Goes Topological Topological Deep Learning: Going Beyond Graph Data

Reference 36

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source=pdf_text observed=2026-08-06T16:55:20.648606Z digest=sha256:ce4e6b64a81286358f44b50b7a6732f87ad53e65cb8d98442e6d385c112b772b

Observation 38519955-eaba-409b-b7a9-eb4ac567e320 · outbound

This paper cites Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks.

Heat Kernel Goes Topological Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 37

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source=pdf_text observed=2026-08-06T16:55:20.687272Z digest=sha256:ca63bf779905735296c43f7b0231d7546216a1aa07cd7753f363075bc21a612b

Observation 95f94852-57f3-48be-a65a-56a9fbaf31ad · outbound

This paper cites Topological Graph Neural Networks.

Heat Kernel Goes Topological Topological Graph Neural Networks

Reference 38

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source=pdf_text observed=2026-08-06T16:55:20.756820Z digest=sha256:c3477af266d8285546fcc6d885191bebb8e4d4b68f3b03f7aa621b0bb643c06b

Observation 00dbec0a-33df-4580-a310-32a513c75ecb · outbound

This paper cites Topological relational learning on graphs.

Heat Kernel Goes Topological Topological relational learning on graphs

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.158108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:20.837592Z digest=sha256:a88ab4c8986b874b8af3308c677aff6b618e8844945a9e9bebcffb3dbcf92973

Observation fea46a59-42ac-4bb2-9c42-b5599117d31a · outbound

This paper cites On the Expressivity of Persistent Homology in Graph Learning.

Heat Kernel Goes Topological On the Expressivity of Persistent Homology in Graph Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T16:55:20.898229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:55:20.898229Z digest=sha256:a1e30b35f1b4e1dc7e60a5f8d679d22a60ad054c5badc554b96de4c5d7b27c49

Observation 8691707f-11df-4436-bc64-57d1e0c6d550 · outbound

This paper cites CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs.

Heat Kernel Goes Topological CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T16:55:20.951775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:55:20.951775Z digest=sha256:9126384a347fb8d20ac590388d4753c4c27b3463e58821168eb70a74da424d66

Observation e5f9cb7d-906d-4626-adf3-9293c938868c · outbound

This paper cites TopoBench: A Framework for Benchmarking Topological Deep Learning.

Heat Kernel Goes Topological TopoBench: A Framework for Benchmarking Topological Deep Learning

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:55:22.185281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:20.986259Z digest=sha256:81d76d1000416803d030f9b87e7385a6f9ce9d7c6cdfa26180c57ccfd59dacff

Observation 23ba102e-85d4-4501-b39d-b7493c77d930 · outbound

This paper cites Topotune: Aframeworkforgeneralizedcombinatorialcomplexneuralnetworks.

Heat Kernel Goes Topological Topotune: Aframeworkforgeneralizedcombinatorialcomplexneuralnetworks

Reference 43

Resolution
verified exact
raw_fallback, observed 2026-08-06T16:55:22.152453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.042602Z digest=sha256:8208420b2ae2e50350ac186644604ca588cbfe4272edf33cb45454693fb58be2

Observation 4223cd4b-5c9a-406c-9d36-0c4bd8c1c23f · outbound

This paper cites Weisfeiler and leman go neural: Higher- order graph neural networks.

Heat Kernel Goes Topological Weisfeiler and leman go neural: Higher- order graph neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.138510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.101885Z digest=sha256:6873c41ef5b74604c4fe5295879e63f37599b17ce93a5223a3bfbc22a2ccbb84

Observation 4af1a4f0-eb26-423b-9c62-b860dd863429 · outbound

This paper cites The reduction of a graph to canonical form and the algebra which appears therein.nti, Series, 2(9):12–16, 1968.

Heat Kernel Goes Topological The reduction of a graph to canonical form and the algebra which appears therein.nti, Series, 2(9):12–16, 1968

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.120067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.143680Z digest=sha256:0ae97b489fe0478bebf9a1845a9c18f139c7015264fd5821a8539c7bcd40014a

Observation 2964fbf8-2991-4fae-9d1c-2852aa207d34 · outbound

This paper cites The Surprising Power of Graph Neural Networks with Random Node Initialization.

Heat Kernel Goes Topological The Surprising Power of Graph Neural Networks with Random Node Initialization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T16:55:21.206977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:55:21.206977Z digest=sha256:9eedc5b0a6b58b67ab48cc02e541ebae0af2a40d512593d3ec24b72dfafc678d

Observation 700ee617-de1f-49c9-b434-e54aba30e746 · outbound

This paper cites Improving graph neural network expressivity via subgraph isomorphism counting.

Heat Kernel Goes Topological Improving graph neural network expressivity via subgraph isomorphism counting

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.104083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.254658Z digest=sha256:d2057097db8e683438d2a42ed7cecc095428185172d4d67c7c8a86579ff72d68

Observation 1b0af0ed-0013-4ecb-a9a9-27ca344359d2 · outbound

This paper cites Equivariant polynomials for graph neural networks.

Heat Kernel Goes Topological Equivariant polynomials for graph neural networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.083802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.290810Z digest=sha256:98cb0a07f280ac80202ccf455e9697f80e91dc00f34149d1415008b495c5ab31

Observation c0917275-049e-400b-a900-353a770eb1a3 · outbound

This paper cites Equivariant subgraphaggregationnetworks.

Heat Kernel Goes Topological Equivariant subgraphaggregationnetworks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.062365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.376404Z digest=sha256:b52b806f3bef7586f7c52818790cdd97597e307e0a2a08a5c7e76d150c400ab9

Observation 4abbb0a8-588e-44a9-8826-69fbc552c647 · outbound

This paper cites Under- standing and extending subgraph gnns by rethinking their symmetries.Advances in Neural Information Processing Systems, 35:31376–31390, 2022.

Heat Kernel Goes Topological Under- standing and extending subgraph gnns by rethinking their symmetries.Advances in Neural Information Processing Systems, 35:31376–31390, 2022

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.044423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.478993Z digest=sha256:c9aa9cd0cac6d611671efa94192e99ce01c00ad667620e8b1cc31a787f2c827f

Observation 555bb454-e223-4baf-bb7c-f92bcc971c9f · outbound

This paper cites A complete expressiveness hierarchy for subgraph gnns via subgraph weisfeiler-lehman tests.

Heat Kernel Goes Topological A complete expressiveness hierarchy for subgraph gnns via subgraph weisfeiler-lehman tests

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.023046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.560854Z digest=sha256:b455234e173cd8dcbab09251a3cb623fc30c5521e56e52d781d330dd29b598e7

Observation 9b079abf-cba7-4806-af0b-2cb8940a6e71 · outbound

This paper cites Nested graph neural networks.Advances in Neural Information Processing Systems, 34:15734–15747, 2021.

Heat Kernel Goes Topological Nested graph neural networks.Advances in Neural Information Processing Systems, 34:15734–15747, 2021

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:23.003748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.621853Z digest=sha256:1f17793008975f3bed6c6d81c2c7b8a50094c0ba04ca65eba66c48cb182ce372

Observation 4b71c0df-98db-4f42-8b97-ee83d852bd7a · outbound

This paper cites Reconstruction for powerful graph representations.Advances in Neural Information Processing Systems, 34:1713– 1726, 2021.

Heat Kernel Goes Topological Reconstruction for powerful graph representations.Advances in Neural Information Processing Systems, 34:1713– 1726, 2021

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.982848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.701819Z digest=sha256:540930652a68a1ab7087daeb93e544fb4bbe13316261b9506bc6ee0d60fd0773

Observation 7518e738-e82a-47d1-b171-d8646f8c8123 · outbound

This paper cites A flexible, equivariant framework for subgraph GNNs via graph products and graph coarsening.

Heat Kernel Goes Topological A flexible, equivariant framework for subgraph GNNs via graph products and graph coarsening

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.956860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.803788Z digest=sha256:69283dedbff1ff3e226035b056adb6f7fb347f1885adf1d239c8d2d9fd68a12d

Observation 7cf67b02-017c-4d85-8e90-6ac456d50d62 · outbound

This paper cites A topological characterisation of weisfeiler-leman equivalence classes.

Heat Kernel Goes Topological A topological characterisation of weisfeiler-leman equivalence classes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.936909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.888223Z digest=sha256:e4883d843c1ce25bffc7d09f8b13e8c57264ec490613e9b2b409387bd42af491

Observation b32d1436-5ab1-4716-a662-50aa6dc2ecaa · outbound

This paper cites Theory of graph neural networks: Representation and learning.

Heat Kernel Goes Topological Theory of graph neural networks: Representation and learning

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.918944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.899183Z digest=sha256:837615a6d637826092eb52aa4a289b7cf831562f47d61a7428229a723d14cd4c

Observation fc1dffa5-31c9-4303-908c-4a88f8c26137 · outbound

This paper cites Weisfeilerandlemangomachine learning: The story so far.Journal of Machine Learning Research, 24(333):1–59, 2023.

Heat Kernel Goes Topological Weisfeilerandlemangomachine learning: The story so far.Journal of Machine Learning Research, 24(333):1–59, 2023

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.900997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.905110Z digest=sha256:d93366b94e9c5ee6b9110ea0ced6691868abdbc17084bcd4f0c589c1868f5163

Observation fdeedda6-5592-46fc-9239-97801b52b7d9 · outbound

This paper cites The expressive power of graph neural networks: A survey.IEEE Transactions on Knowledge and Data Engineering, 2024.

Heat Kernel Goes Topological The expressive power of graph neural networks: A survey.IEEE Transactions on Knowledge and Data Engineering, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.883549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.913140Z digest=sha256:500d2ac124e3ea6ac31557322c1f83b6ee792e20489f02b9f51aaff907839d40

Observation 86a157ad-fde1-4a29-af16-27e85aecd133 · outbound

This paper cites Scale-invariant heat kernel signatures for non-rigid shape recognition.

Heat Kernel Goes Topological Scale-invariant heat kernel signatures for non-rigid shape recognition

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.862396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.921951Z digest=sha256:76b624252ccc25b00505b02ddb6d34395c4a2970b639fcefafd369ce0916b250

Observation 36b56c9b-32aa-445f-af37-6f12cfc1e248 · outbound

This paper cites Volu- metric heat kernel signatures.

Heat Kernel Goes Topological Volu- metric heat kernel signatures

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.842324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.930108Z digest=sha256:5ab3d35d45a724f9477a8e14d5530453f8587604d745aa8c63bd3b6b4a1fb65a

Observation 9d9569c9-bfc6-4d7b-bb06-a72bf6210e9d · outbound

This paper cites Onepoint isometric matching with the heat kernel.

Heat Kernel Goes Topological Onepoint isometric matching with the heat kernel

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.822524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.939338Z digest=sha256:77e82e9093015971635bd78bcd8fb00c3f5fd6aaaac3c57196421b47a2427890

Observation 759cd523-cf69-4a62-8a14-41acd49b9dd0 · outbound

This paper cites A novel graph kernel based on the wasserstein distance and spectral signatures.

Heat Kernel Goes Topological A novel graph kernel based on the wasserstein distance and spectral signatures

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.799236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.949731Z digest=sha256:0de6270ee326ad46ab9d33b85b33c4b6282ad97fef651ec89b1d1f1e6090c11e

Observation 345218dc-6fb6-40ac-8400-86620259aa87 · outbound

This paper cites The wave kernel signature: A quantum mechanical approach to shape analysis.

Heat Kernel Goes Topological The wave kernel signature: A quantum mechanical approach to shape analysis

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.775984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.956072Z digest=sha256:b8564cc256a867826b03c462bcd2d637b7927749890252f90a5049c5a182fb0a

Observation d15ed4f3-96cb-4d72-b2c5-f15526fbd57c · outbound

This paper cites Learning structural node embeddings via diffusion wavelets.

Heat Kernel Goes Topological Learning structural node embeddings via diffusion wavelets

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.752479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.964061Z digest=sha256:683e18c60eb9a14544feeea93e82b2e5b67e58a919208fd92ed115b8b590432c

Observation e8197623-37a0-4c8c-a248-57af7381b877 · outbound

This paper cites Spectral coarsening with hodge laplacians.

Heat Kernel Goes Topological Spectral coarsening with hodge laplacians

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.735545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.974015Z digest=sha256:730718c37b0e1e33408528c61d8b00420b6ae510bf326521cd69259320d001d2

Observation 64da1283-caa2-4744-9554-b5cde4044dc2 · outbound

This paper cites Laplacian matrices of graphs: a survey.Linear algebra and its applications, 197:143–176, 1994.

Heat Kernel Goes Topological Laplacian matrices of graphs: a survey.Linear algebra and its applications, 197:143–176, 1994

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:55:22.718708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T16:55:21.981389Z digest=sha256:81c68ea69b192cd13e9cdec5610f2793b31e0b812b6083dbe4463ec60e4d078d

Pith citing papers

Observation 800c5780-91c4-4207-9821-267fed601ed2 · inbound

Diversity Curves for Graph Representation Learning cites this paper.

Diversity Curves for Graph Representation Learning Heat Kernel Goes Topological

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:09.589693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:42:15.594346Z digest=sha256:4daab657c789cb20d637d852f856a263c1e72868c80aab8352edf3d0ef77584c