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Paper Citation Record · LEDGER

Heat Kernel Goes Topological

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:19.076933Z digest=sha256:35225d49e849f8f252c4814e3745802d86b05fb4efafaf93b94ada1f99ce2e03

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=pdf_text observed=2026-08-06T16:55:19.083778Z digest=sha256:a614c9bb58c20a31ffa2117bcee2365419e8ef8c7d383d2274487fe2d719058c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:19.097780Z digest=sha256:e50a860650ae0c7013facd286ec977a8162cc2a7c07ba325302eb01b42ebc58d

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:19.112627Z digest=sha256:24d8b0a538a25fbd54deae71993eba77e1229315f651eb36e9f723d169decf49

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=pdf_text observed=2026-08-06T16:55:19.134952Z digest=sha256:bdbcb36e7a1d225a204ba39ae84bd38aa9b0935504da005467d5d8f8f2706816

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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source=pdf_text observed=2026-08-06T16:55:19.150655Z digest=sha256:168a91aee4d3968390d53e15b8f7fa86e9051e4d22375675715db84123d32b9a

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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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 2026-08-14T06:32:32.682623+00:00.

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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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:55:19.180692Z digest=sha256:947110f4cb0ea99ffcda9699c288b38dd5b6a18b55e98da94ffe312d9edc942b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:19.196713Z digest=sha256:8864ed6efc879902215ec23872c5b9ed250274d843b95d0f98f8d9cde6cdf1fe

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=pdf_text observed=2026-08-06T16:55:19.216258Z digest=sha256:5b3d984530d8026d85862d79b64a33209410e3566ea7e5da04c31374464b7b73

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:19.231062Z digest=sha256:817533d87a82724947e2ef62bdfe9541b3e63d04eb1da82ce162d122c6fd2952

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:19.246486Z digest=sha256:7c6ac3a23168f44adf96bad2002364b1e5a16d73d9986b7e37e880b0d81defe5

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:d4ef24890c014371d9a5f0e5ec19cc69c4fb35c66de9bb834aa47aa5e3e4135f

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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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 2026-08-14T06:32:32.682623+00:00.

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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=sha256:7a3511ead9b3b03e062a2b78c3769a911dfb99e55fc2539e042d84b19eb4ab3a

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 2026-08-14T06:32:32.682623+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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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=sha256:28b11a29295379c14bceaf629b1aa7a158acbd5d4a890c9dd6c680fdd714f6c2

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=sha256:30ea6b2cd6bcca88a950b63840d7868066db4222e774116c59cb2e02f5969841

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:c5069405f72a260fa9166863b4fbf1d6abe9ebea5f84da7352bd878cf640a2e6

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=sha256:782f22f8eb8cec8528b6097891547671cc39452d03e6a8cf70c18d226788a3b4

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 2026-08-14T06:32:32.682623+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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source=pdf_text observed=2026-08-06T16:55:19.873817Z digest=sha256:366f9c28877429524e52e86b03da2a719b83b9f3865b93e50b8871880a0f069c

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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:20.133943Z digest=sha256:d43fb08d8aebdce904be0ab48c0426bfa5fea60cffaa5e574f98ede4ab93b5a9

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=sha256:8d441d68950f3155a32b64cc05f5aa9fe095a4769f531c2aca3faee19f1867c5

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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source=pdf_text observed=2026-08-06T16:55:20.249289Z digest=sha256:a1d1c21aed4c785720f648b88865727797b76191fad390cf08f227e00612d470

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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source=pdf_text observed=2026-08-06T16:55:20.316753Z digest=sha256:9beb246e87873777adaa78dd5469c3d1985f27a7581ca091a3945f4312f98ab3

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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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 2026-08-14T06:32:32.682623+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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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 2026-08-14T06:32:32.682623+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=sha256:3ed076e33d17fc688ba21dd9a60f973538dd59de99bd5954b336c53fe29f5d68

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:ac779f724624df8852370ee8cfffa37ee76bf161e8c9f165a9e93647f1197edc

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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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:c812e2ba785760ae460a4e2b26d08bfea9a0145ed9942ea3d69777d101b0592e

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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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:20.837592Z digest=sha256:40696f2ac24b0b871fd7ac77fdd168e54cc9569def719ae68eb83d5b5ec693bc

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=sha256:7b0438de95845cbb71a5fd321046fcf2e1079142dd75b956ccc46ca585a3ca70

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:cac214d2ac5d89abf5426d0e243186a73ff7bce03b364426cba6fa42c96b7dde

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:20.986259Z digest=sha256:1157dfb5a56de37d721610af6127e9fe0896ac3dc5eb06acc3c4613be06e3d63

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.042602Z digest=sha256:08698b440aadf9b91eb44be7f7ac27b53361ef3471a2235ea61bebd675b37956

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.101885Z digest=sha256:6e0cbb6a2da398220c1142956dbb387b9582fe12476f97695611f8aa474b9997

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.143680Z digest=sha256:b3cb062977f07a4c2d82b8df868537f2715d03d176eb18116c9845b9ac8247c9

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=sha256:5b1f614e19ba56ad0e2b5d832f1777557fcb6fb2a433bee27e46ddba4ad58564

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.254658Z digest=sha256:b47f0e5984fe2b9ed564c36fa605f09de6d7820b6ff97bef3660515180f63239

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.290810Z digest=sha256:74b0ef7fba8701e3451a44299ba46a3de3503b9de73a27baa672abac2f94f56a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.376404Z digest=sha256:399767c30cd0cac13979265d5890ff0daf31579b86f8712b0cc6b7786d4d6d41

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.478993Z digest=sha256:a4c1d088beb4ef05ca18ab1765355191f188f05e6b463ad101b2fa53a86e828f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.560854Z digest=sha256:2fc26b48a9472dd574e2cece54a43b5b8e79ff5a4ec2a0e539bf1c83748705ae

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.621853Z digest=sha256:1dbc8a95b31b7b95e9ae19376d3667c188986b3e734bda5f695d8e767483cb64

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.701819Z digest=sha256:1c4e26e1cf7cca4ee63362d62eaab3de0ca1aa19ff7146cfa1469d918bbcc69f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.803788Z digest=sha256:9027b4c0b1bbf09dc5650e2eb5623487dee0b49063973a86866d3eb60c5dd7af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.888223Z digest=sha256:2ca25693abacfbea5f1270b40d27526f201407bdcb250020373aa8072d138505

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.899183Z digest=sha256:599ae1eb4fe948405cdc4142e4a35dc283a7a10b371848d791110117dbedb62a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.905110Z digest=sha256:49e4622caff0ab1eada46f32bc94331eb6b1d742b7c0e69cd902b6f1bb66b69a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.913140Z digest=sha256:9b9b74ebb179c00e6a1eb877bebd7b6df6785e6cb5fd15c379e4ea701fd41213

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.921951Z digest=sha256:14d7ffdb442d189519a63fb34690f6386dc2d9255c9954e52956f6a811247000

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.930108Z digest=sha256:302456fd08b164e7b5e7ae65a53be386170313b3e1757e38ddd4fa5bbd07afaa

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.939338Z digest=sha256:a05a0d148b6989f6f9e7b6375758752bdd1c5f10562969b6a348e67f3dffd76c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.949731Z digest=sha256:6d930f825ad07e46d75003f9f5ba26d2e075b7d31d9c8690bf6cc6dc5b2a69bb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.956072Z digest=sha256:3f6b8d0b3bddaa846aca41fc50d590ba563f0d2cb3dacb40b53b5a9819f06823

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.964061Z digest=sha256:5cd486c146789bb0bbefb8a64c0b86615f2eafc428f6a1a4f2cdadce865ba5fd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.974015Z digest=sha256:c613070943cc2e7b9a154df22576905e113faab32a63ab875e24361ca6807f04

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T16:55:21.981389Z digest=sha256:2c4643cf23b84f5ebf0eb94f24c6355130ecd943b8be9f6fef95757c9a883af8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T12:42:15.594346Z digest=sha256:9733df2f6c9a42967a4b2aacfe1c2082fd664bac37c1f54e646e6acb44e8dc9a