AdS-GNN -- a Conformally Equivariant Graph Neural Network | Paper Citation Record

Observation b10e402f-fb20-4643-b56e-fd16cc9f4c5a · outbound

This paper cites Shape representation in the inferior temporal cortex of monkeys,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Shape representation in the inferior temporal cortex of monkeys,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.803037Z

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Observation b9530cd7-de30-4064-89b1-2d75b153c6ee · outbound

This paper cites Scale and translation-invariance for novel objects in human vision,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Scale and translation-invariance for novel objects in human vision,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.788422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9d623837-00e3-42db-bbf6-df3c85ef4b00 · outbound

This paper cites Cardy,Scaling and renormalization in statistical physics, vol.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Cardy,Scaling and renormalization in statistical physics, vol

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.544976Z

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Observation 9619715f-42bd-4bec-9c3d-7d6ffe2c11d7 · outbound

This paper cites Di Francesco, P.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Di Francesco, P

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.549948Z

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Observation f42c5531-4d1e-4e13-945a-485c6d454fdd · outbound

This paper cites Scale and Conformal Invariance in Quantum Field Theory,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Scale and Conformal Invariance in Quantum Field Theory,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.754309Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a11d5b6-b1ab-405a-acd2-5a0aff703eda · outbound

This paper cites Scale invariance vs conformal invariance.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Scale invariance vs conformal invariance

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.559411Z

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Observation 526bc87d-b508-4a57-91a5-de0c4fce3f2f · outbound

This paper cites 2d-shape analysis using conformal mapping,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network 2d-shape analysis using conformal mapping,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.738831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9d72b351-7a5d-4118-8033-0c29e1e9ca55 · outbound

This paper cites Computational conformal geometric methods for vision,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Computational conformal geometric methods for vision,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.723732Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e7106306-00af-45e0-b5d4-6288db93991f · outbound

This paper cites Group equivariant convolutional networks,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Group equivariant convolutional networks,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.574468Z

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Observation e112ec4e-3ba3-499e-9b85-bc63520cec00 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.579103Z

Source-reported events for the cited work

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Observation 3116fb08-790b-4026-bf81-4211be6eb252 · outbound

This paper cites Weiler, P.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Weiler, P

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.698640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c48ab982-9bf4-44b7-840c-750e219a106f · outbound

This paper cites Implicit convolutional kernels for steerable CNNs,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Implicit convolutional kernels for steerable CNNs,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.685139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee695b29-5d14-4c1a-aa90-1e60e836282b · outbound

This paper cites Clifford-steerable convolutional neural networks,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Clifford-steerable convolutional neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.671019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 905aba6d-5da2-46fc-b8cd-517097a6abd2 · outbound

This paper cites Probing Equivariance and Symmetry Breaking in Convolutional Networks.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Probing Equivariance and Symmetry Breaking in Convolutional Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.597601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19ace448-1445-4d89-9c61-2af5ce304bed · outbound

This paper cites Does equivariance matter at scale?.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Does equivariance matter at scale?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.602542Z

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Observation 12132b77-7c56-4738-8c72-541a371b4f8d · outbound

This paper cites Lie group decompositions for equivariant neural networks,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Lie group decompositions for equivariant neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.656161Z

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Observation ef8f7980-a80a-4f60-b886-81991fe4e7ff · outbound

This paper cites Lie neurons: Adjoint-equivariant neural networks for semisimple lie algebras,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Lie neurons: Adjoint-equivariant neural networks for semisimple lie algebras,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.642249Z

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Observation 3dbeda6a-8aed-4bb8-9bd6-afe76787c5a5 · outbound

This paper cites B-spline cnns on lie groups,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network B-spline cnns on lie groups,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.627584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9859b980-d1b9-42ce-b08c-822f308e0ae2 · outbound

This paper cites Scale-Equivariant Steerable Networks.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Scale-Equivariant Steerable Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.620894Z

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Observation 75429082-a7bd-4dfa-abc9-3e7ebe5b0a19 · outbound

This paper cites Truly scale-equivariant deep nets with fourier layers,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Truly scale-equivariant deep nets with fourier layers,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.613529Z

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Observation bc5ecccf-c834-4c13-9bdc-f93d16f83697 · outbound

This paper cites Scale-space filtering,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Scale-space filtering,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.599527Z

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Observation 6f0ae45c-2929-4ddb-9640-4ecc86eda2c1 · outbound

This paper cites Deep scale-spaces: Equivariance over scale,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Deep scale-spaces: Equivariance over scale,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.585112Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c7a8508-af24-4de5-b47f-38314ba8baec · outbound

This paper cites Conformal Fields from Neural Networks,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Conformal Fields from Neural Networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.639904Z

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Observation 0bbb1dc2-9991-4128-a913-381242cee060 · outbound

This paper cites Schottenloher,A Mathematical Introduction to Conformal Field Theory.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Schottenloher,A Mathematical Introduction to Conformal Field Theory

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.570572Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 79f260d2-dd6d-4bb7-9066-3651425e0256 · outbound

This paper cites TASI Lectures on the Conformal Bootstrap.

AdS-GNN -- a Conformally Equivariant Graph Neural Network TASI Lectures on the Conformal Bootstrap

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.649701Z

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Observation 7dd761a8-b3ff-4050-a070-8202379e1674 · outbound

This paper cites What Maxwell Theory in D<>4 teaches us about scale and conformal invariance.

AdS-GNN -- a Conformally Equivariant Graph Neural Network What Maxwell Theory in D<>4 teaches us about scale and conformal invariance

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.654572Z

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Observation d54094ec-fc82-4c3a-9820-4a4d7cb37546 · outbound

This paper cites The renormalization group and critical phenomena,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network The renormalization group and critical phenomena,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.555737Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d6c8135e-3f37-47a1-ace1-bbbc9eb9cd5f · outbound

This paper cites Kardar,Statistical physics of fields.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Kardar,Statistical physics of fields

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.540035Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d206f80f-7fe1-4f8a-82f6-d24abdf8c997 · outbound

This paper cites Zinn-Justin,Quantum field theory and critical phenomena, vol.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Zinn-Justin,Quantum field theory and critical phenomena, vol

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.525030Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 324aee74-bcbe-47e5-a55d-bad04c4e92d8 · outbound

This paper cites An introduction to Cartan geometries.

AdS-GNN -- a Conformally Equivariant Graph Neural Network An introduction to Cartan geometries

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:30:56.902444Z

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Observation a6fa84e5-180f-4533-9051-0994f0387320 · outbound

This paper cites The Large N Limit of Superconformal Field Theories and Supergravity.

AdS-GNN -- a Conformally Equivariant Graph Neural Network The Large N Limit of Superconformal Field Theories and Supergravity

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.677746Z

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Observation 0ec7cd4b-1464-4ba2-abee-4fd131b2ecc0 · outbound

This paper cites Gauge Theory Correlators from Non-Critical String Theory.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Gauge Theory Correlators from Non-Critical String Theory

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.682416Z

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Observation bdc0a629-f829-4f88-82d4-0f84124c9bb1 · outbound

This paper cites Anti De Sitter Space And Holography.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Anti De Sitter Space And Holography

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.687576Z

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Observation 06961b35-669a-469b-882f-b8896d44f00f · outbound

This paper cites A concept of the mass center of a system of material points in the constant curvature spaces,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network A concept of the mass center of a system of material points in the constant curvature spaces,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.508292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 36b83a4a-887d-4c0c-bb52-c7d3ad679769 · outbound

This paper cites The Holographic Bound in Anti-de Sitter Space.

AdS-GNN -- a Conformally Equivariant Graph Neural Network The Holographic Bound in Anti-de Sitter Space

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:56.697149Z

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Observation 366a0b90-7e0d-4ff8-afe4-7d051d878a3b · outbound

This paper cites E(n) equivariant graph neural networks,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network E(n) equivariant graph neural networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.492384Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 41e9ad23-cc39-4f38-b727-45dda987525e · outbound

This paper cites Clifford Group Equivariant Simplicial Message Passing Networks,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Clifford Group Equivariant Simplicial Message Passing Networks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.477396Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 827f079b-c6cb-452e-b9dd-145fc2318f62 · outbound

This paper cites Fast, expressive se(n) equivariant networks through weight-sharing in position-orientation space,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Fast, expressive se(n) equivariant networks through weight-sharing in position-orientation space,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.461579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c786af85-b1dd-4404-85ed-0387829c5390 · outbound

This paper cites Geometric deep learning on graphs and manifolds using mixture model cnns,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Geometric deep learning on graphs and manifolds using mixture model cnns,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.444194Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 814b0fc2-6be2-49b3-9ec5-8df800c1a11c · outbound

This paper cites Long range graph benchmark,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Long range graph benchmark,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.428320Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e8826d99-cb10-4285-8969-33855a37495a · outbound

This paper cites Decoupled weight decay regularization,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Decoupled weight decay regularization,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.412971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b4c31dc-e3ca-4234-9a73-4a078391e945 · outbound

This paper cites Splinecnn: Fast geometric deep learning with continuous b-spline kernels,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Splinecnn: Fast geometric deep learning with continuous b-spline kernels,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.396746Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 289bbfeb-bb76-4aba-a2e6-354b611e1249 · outbound

This paper cites Graph convolutional gaussian processes,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Graph convolutional gaussian processes,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.382009Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66ccca87-1d72-425d-95c8-f7d2fd7f3ec0 · outbound

This paper cites Graph attention networks,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Graph attention networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.366298Z

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Observation fd1a91dc-6aca-45bc-9335-65954079f2f6 · outbound

This paper cites Probabilistic numeric convolutional neural networks,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Probabilistic numeric convolutional neural networks,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.349613Z

Source-reported events for the cited work

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Observation 2186f7b0-9d79-4494-b7bb-bc37a533fdbc · outbound

This paper cites Conformal Linear Transformations,.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Conformal Linear Transformations,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.333885Z

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Observation 6ae27556-531c-4680-99f9-b7214c4b2f9a · outbound

This paper cites A similar relation holds for the energy operator with∆ϵ = 1.

AdS-GNN -- a Conformally Equivariant Graph Neural Network A similar relation holds for the energy operator with∆ϵ = 1

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.319500Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71accc3c-16ad-4063-8b80-972d8dc732a6 · outbound

This paper cites an unresolved cited work.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:30:57.303888Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5f2d3019-198c-4bf9-b313-2c16ce33ffb1 · outbound

This paper cites an unresolved cited work.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:30:57.289850Z

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Observation 41710c5d-e3a2-4cd1-b670-c1deeb29ef7f · outbound

This paper cites an unresolved cited work.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:30:57.275524Z

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Observation c577eca3-dace-4410-88b7-864597e1e7a9 · outbound

This paper cites an unresolved cited work.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:30:57.259847Z

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Observation 5d2ca211-2ce4-4876-8d27-dcbcd69a8313 · outbound

This paper cites For more details see further below.

AdS-GNN -- a Conformally Equivariant Graph Neural Network For more details see further below

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.243838Z

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Observation c89202a3-5b19-4a0a-afa9-510eb6c3ce11 · outbound

This paper cites an unresolved cited work.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:30:57.226734Z

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Observation b3768e4f-b1df-419e-a2cc-f0eeaf29b803 · outbound

This paper cites an unresolved cited work.

AdS-GNN -- a Conformally Equivariant Graph Neural Network Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:30:57.210183Z

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Observation 672cb176-cf7f-427e-9c0f-09b3e203b8d3 · outbound

This paper cites (178) i.e.

AdS-GNN -- a Conformally Equivariant Graph Neural Network (178) i.e

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.194466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03be362e-5985-48a7-88fc-3a86350bffd8 · outbound

This paper cites 1−η(ς(x),ς(x)) 2ς(x) 1 +η(ς(x),ς(x)) # (183) = 1 2   1− 1 η(x,x) 2x η(x,x) 1 + 1 η(x,x)   (184) = 1 2 1 η(x,x).

AdS-GNN -- a Conformally Equivariant Graph Neural Network 1−η(ς(x),ς(x)) 2ς(x) 1 +η(ς(x),ς(x)) # (183) = 1 2   1− 1 η(x,x) 2x η(x,x) 1 + 1 η(x,x)   (184) = 1 2 1 η(x,x)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:57.179244Z

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