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Paper Citation Record · LEDGER

Heat Kernel Goes Topological

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.069357Z digest=sha256:37e867e8ffab5902e188eb1cdb830dd0be205c18cae42dd20d00131b5d0eb5f6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.076933Z digest=sha256:b2e170710caaa82574e2f767f0e9593ba3a7efd35c8ca5016fc8ece215c31fbf

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:b54936fce6084048822e52709de3bff9578f5ad5a6dfe187145c63d629f39c70

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.097780Z digest=sha256:f50ba3f9bf099f32f6ce003c5bb21a63816936207af413037e6e252a3ae5498d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.112627Z digest=sha256:33c73fb34dcba9b5922efda8391f6c81da6e0b2b2c2b43f1370d27273ec29176

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=sha256:4c917b2368a28fbc90cab185db0883c292663ad5c247390edb5725d34735b613

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:b4c9f03a8819e7f84ae62b10fac313221c35d1500a310315203a1b79e0a1fb55

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.167540Z digest=sha256:e8c524b9f3aabb240a34db279f894533c62adeda65a91a9806b4d70f5d222595

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

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.180692Z digest=sha256:a7968e698a915ef5aa71e8d031f15fa3639894b7e77003075068ef580e9e487a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.196713Z digest=sha256:0af71409ff4e26c5c662dcc034330db5f2743c74717d3c87f8fadbf2b7f23911

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:cae7defea6c1072e8a81b67ee71d120bad95f5b76b5bfbd8fc5e83dd99c59185

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.231062Z digest=sha256:1af07a575e0f09fbbb976189a5bc825ec687ed84e5d28ca8359eae86df154f9c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:19.246486Z digest=sha256:393a20f4aabe7d49b2daf479ca975304f89d4e48628575c08f3ee65f6f9e7fd7

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=sha256:6290edf38d9b510401171ad9c484e99007d8f79b2545d53ba301a0e4f35ea930

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 2026-08-09T06:31:02.800959+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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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 2026-08-09T06:31:02.800959+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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=sha256:5f94c887f250c0246146d8e35a5f30af226ab3987e6efedf928a6dea2c8ca32b

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:d696de50fa909e6b0326285dd1c26dbd41dfe5f14992f4f0bc614706e0e5ddaa

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=sha256:7f4e19d39da3b24a620b07c34ecdf9b2ab69f0fdd3ee1a90e8374bae06cb3ee9

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:f3499ffde1c03763f4d55c4ddfa745ac6ccce0907d9a4a626d844fcea5e25c16

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 2026-08-09T06:31:02.800959+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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source=pdf_text observed=2026-08-06T16:55:19.961917Z digest=sha256:b28db96de8806a3b1885931bda5547c807ca7edf55c8d0b6e1a81778a7c2f7c0

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:20.133943Z digest=sha256:97561d57852a00367e724c847819f4adc6e74466be76fcfa0d977977e2556fb8

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=sha256:1a5edd55fa229988ae0d186bdeb72a30efb97eed43535f3449af2e108283db41

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=sha256:465cfb80cb79d31afba7896cfc21e33ae9bf31e71db7eff5201a70e2ca7a805d

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=sha256:1de73a3f69bc33d605e6c743d83511435b59e07f56bf71f1d0cca519725f8215

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 2026-08-09T06:31:02.800959+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=sha256:1997b8ba9907b2647bf909e990d0b459ec080f6b6538cf74b1e301baf35d9659

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 2026-08-09T06:31:02.800959+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:f70e1ec20497d63f1ef169570734f6d11d703f18ef24135ed9852ed01ab16ae7

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:c82e89897d88f16c1f5f39ca3fa86aed6682de13bf9af60cb5112e3da829f286

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:a7596e95a95806c0d820034357fb184dc1eeb8f4502ff9df20fdf0c3fcdc10d9

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:fde76800afbdf31fac76bff9d79ff7cbf37d3ff45b71b90357a45c4c13e70dce

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:20.837592Z digest=sha256:03980147ffaca3f92068a287151eaaae1841f2d69fdf9bd0d94c1df8b44a5648

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:bad7a876b6923621473f5fd2e4d9963119a090508165c544e015b84e47838b66

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:ba882a6ec9b0e0feee0ba31ffd85f56e49946eb710a969ea3d8f39cf794b6bb1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:20.986259Z digest=sha256:f5bf727995fc17ce665a3466ce42d53aa5329c2af4831b06b6d63236fe028336

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.042602Z digest=sha256:bebcffad62c524827e0cbd0ac0ec70874216a9ef17c3f6416511ae9858ff97c0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.101885Z digest=sha256:168a632985b1bf19f33c6035f4ffce37929f699954ffe67ebd3904ec1d7561d4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.143680Z digest=sha256:be936619ff846be269295a635913c80ac2833182571ced0c36e3c8b3301cee6b

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:ea236c98b1391831431d6e296bbc545ddf9925ddba40d73b727ed39beeed4825

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.254658Z digest=sha256:653e089fbc8fae505f4d2a81defaeceeefbf13e951c1b4d9e3265d4044c70949

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.290810Z digest=sha256:1844b1ce53d935c48c3757fede534ff1c8b8e3b3f20f6b7d29bf0920d7d6c3d7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.376404Z digest=sha256:bb9960dda215d31d1f752ce00f49f051eff94db2b8e78a8de5a154ddfabc6394

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.478993Z digest=sha256:1a4a8e8a1dba6a148bce23da74e2d602b053cd657688cb512f803c1bde8a03b4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.560854Z digest=sha256:0c25179c1eb976ade52d22dce45df2fd9c490758fb4edc4d79b4f5f0fdc91d3f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.621853Z digest=sha256:97fa0708c057f6bdd6389a4b4a7dca34d7b4e819dd589ee284484f6964aa2fb9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.701819Z digest=sha256:34b318943898dea90f48d37e62e67c11972ea38a672703f73949b9002fad8a1f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.803788Z digest=sha256:43bd49dceb0d62db3bfc5e656389960e47cad741cfb8a7cedf8c06893d6e8e49

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.888223Z digest=sha256:f9e50c1dd77aeaccc44928835174a45faafbe469e328b971a423e57d8fd5228e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.899183Z digest=sha256:87357ac68aa821db14ccaef417edaba5907df91531472bda5a9fda0b5ae4d679

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.905110Z digest=sha256:a5b900480e65fb61e9c5f113eac9ae123eaf28c69369095291f37e33c96f63ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.913140Z digest=sha256:3c88f58b4279661696e56788b137b741a149714006f1bf6a153611094aa16709

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.921951Z digest=sha256:a767f169de7c48cbce5dcc8a18e13e0c8f4ca4415a8bc238f745a4f09c9b67ef

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.930108Z digest=sha256:f56720e6e2b94fbac3311c875d866397b1e97f8479b6915322da6d5015058857

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.939338Z digest=sha256:213e2e9830987cbcb216e9f202d86cb46c72ae1fbe6b912f42dc7a0365b9c3f4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.949731Z digest=sha256:cd0206956fa62a44f455cc76a3b39411ad60a41f0a7b1b1de7b8d673f79fb6cd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.956072Z digest=sha256:43380b68705b744e6ce37a5c215dc958cf8554c0b9df3c565e4c30230456289b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.964061Z digest=sha256:9f75f9f2b470c138753e8b0cc4b1001ae0dda8e72e128aa6dd70af8dabc09854

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.974015Z digest=sha256:2d868d0fbc2677b3f6f694be94a4e170c8767b9d52166bc278613baf210dce13

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:55:21.981389Z digest=sha256:ca407a00a18d8ec368933286b128cff5cae1c0444dfa320c7817a59642594ba2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T12:42:15.594346Z digest=sha256:e5f930b8a7df14d8a2db26081b3e6c2ae319ad06f844ce59b7bcbcb6c1f289d0