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Paper Citation Record · LEDGER

Multi-Modal Molecular Representation Learning via Structure Awareness

As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.05877.

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

pith.paper-citation-record.v1
2505.05877 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:58:53.532877Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 204a39b3-7edb-40be-9bee-95215d9ea67d · outbound

This paper cites Bayesian statistical analysis for bacterial detection in pulmonary en- domicroscopic fluorescence lifetime imaging,.

Multi-Modal Molecular Representation Learning via Structure Awareness Bayesian statistical analysis for bacterial detection in pulmonary en- domicroscopic fluorescence lifetime imaging,

Reference 1

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Observation a7ae6692-4399-4400-8b19-c4c4b8ac761a · outbound

This paper cites AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning.

Multi-Modal Molecular Representation Learning via Structure Awareness AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning

Reference 2

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Observation 69259cc8-c0c4-4582-b6f7-79020bba3e76 · outbound

This paper cites Sketch kernel ridge regres- sion using circulant matrix: Algorithm and theory,.

Multi-Modal Molecular Representation Learning via Structure Awareness Sketch kernel ridge regres- sion using circulant matrix: Algorithm and theory,

Reference 3

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Observation 14e763cf-9070-41b4-a2e3-410b34b60105 · outbound

This paper cites Divide-and-conquer learning with nystr ¨om: Optimal rate and algorithm,.

Multi-Modal Molecular Representation Learning via Structure Awareness Divide-and-conquer learning with nystr ¨om: Optimal rate and algorithm,

Reference 4

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Observation bf47844b-f0f0-4568-ae45-edb84c1cd838 · outbound

This paper cites Self- supervised graph transformer on large-scale molecular data,.

Multi-Modal Molecular Representation Learning via Structure Awareness Self- supervised graph transformer on large-scale molecular data,

Reference 5

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Observation d9e297d3-8629-4b7f-9e9a-37e6889079df · outbound

This paper cites Distributed randomized sketching kernel learning,.

Multi-Modal Molecular Representation Learning via Structure Awareness Distributed randomized sketching kernel learning,

Reference 6

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Observation 366a5902-0aac-4e58-8387-737f910579e8 · outbound

This paper cites Randomized sketches for clustering: Fast and optimal kernel k-means,.

Multi-Modal Molecular Representation Learning via Structure Awareness Randomized sketches for clustering: Fast and optimal kernel k-means,

Reference 7

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Source-reported events for the cited work

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Observation 99440386-8f3f-49cb-8ca6-8cdb28b51612 · outbound

This paper cites Scalable kernel k-means with randomized sketching: From theory to algorithm,.

Multi-Modal Molecular Representation Learning via Structure Awareness Scalable kernel k-means with randomized sketching: From theory to algorithm,

Reference 8

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Source-reported events for the cited work

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Observation 1dd443f2-a751-4484-8304-054c93aa1a36 · outbound

This paper cites Extremely sparse johnson- lindenstrauss transform: From theory to algorithm,.

Multi-Modal Molecular Representation Learning via Structure Awareness Extremely sparse johnson- lindenstrauss transform: From theory to algorithm,

Reference 9

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Source-reported events for the cited work

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Observation 73cc0a11-5323-4f07-92ad-1e2fb2e26f51 · outbound

This paper cites MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction.

Multi-Modal Molecular Representation Learning via Structure Awareness MapFusion: A Novel BEV Feature Fusion Network for Multi-modal Map Construction

Reference 10

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Source-reported events for the cited work

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Observation 9c537383-5fcf-497f-a834-2d16044fc8ce · outbound

This paper cites Aswt-sgnn: Adaptive spec- tral wavelet transform-based self-supervised graph neural network,.

Multi-Modal Molecular Representation Learning via Structure Awareness Aswt-sgnn: Adaptive spec- tral wavelet transform-based self-supervised graph neural network,

Reference 11

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Observation e57f6105-8d10-4aff-b210-ebaf0ad67626 · outbound

This paper cites Refor- mulating graph kernels for self-supervised space-time correspondence learning,.

Multi-Modal Molecular Representation Learning via Structure Awareness Refor- mulating graph kernels for self-supervised space-time correspondence learning,

Reference 12

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Source-reported events for the cited work

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Observation 90b68d60-b6d9-4c45-98d9-f7ec1c6b7f2b · outbound

This paper cites Bctr: bidirectional conditioning transformer for scene graph generation,.

Multi-Modal Molecular Representation Learning via Structure Awareness Bctr: bidirectional conditioning transformer for scene graph generation,

Reference 13

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Source-reported events for the cited work

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Observation edee7dc3-ee2a-4f79-b64f-9238a7654ee7 · outbound

This paper cites Atomic imaging of zeolite-confined single molecules by electron microscopy,.

Multi-Modal Molecular Representation Learning via Structure Awareness Atomic imaging of zeolite-confined single molecules by electron microscopy,

Reference 14

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Source-reported events for the cited work

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Observation 1d79c8f2-9458-482a-a46e-0b990056624f · outbound

This paper cites Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling,.

Multi-Modal Molecular Representation Learning via Structure Awareness Rdkit: A software suite for cheminformatics, computational chemistry, and predictive modeling,

Reference 15

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Source-reported events for the cited work

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Observation eb8c30ca-247f-4c95-be75-5ba006bad65b · outbound

This paper cites Image restoration in x- ray microscopy: Psf determination and biological applications,.

Multi-Modal Molecular Representation Learning via Structure Awareness Image restoration in x- ray microscopy: Psf determination and biological applications,

Reference 16

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Source-reported events for the cited work

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Observation fbfbef15-4cf1-42ec-91f3-f7d5462d01e7 · outbound

This paper cites Strategies for pre-training graph neural networks,.

Multi-Modal Molecular Representation Learning via Structure Awareness Strategies for pre-training graph neural networks,

Reference 17

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Source-reported events for the cited work

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Observation 28113c57-feb0-4cd1-9977-fe5c01842cd8 · outbound

This paper cites Umcgl: Universal multi- view consensus graph learning with consistency and diversity,.

Multi-Modal Molecular Representation Learning via Structure Awareness Umcgl: Universal multi- view consensus graph learning with consistency and diversity,

Reference 18

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Source-reported events for the cited work

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Observation 7bb4d6b7-b4f1-4f8e-b179-7b3f967ce4c2 · outbound

This paper cites Molecular persistent spectral image (mol-psi) representation for ma- chine learning models in drug design,.

Multi-Modal Molecular Representation Learning via Structure Awareness Molecular persistent spectral image (mol-psi) representation for ma- chine learning models in drug design,

Reference 19

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Observation a3c1ed43-d13b-4114-8f93-1349b729ae67 · outbound

This paper cites Mole- bert: Rethinking pre-training graph neural networks for molecules,.

Multi-Modal Molecular Representation Learning via Structure Awareness Mole- bert: Rethinking pre-training graph neural networks for molecules,

Reference 20

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Source-reported events for the cited work

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Observation 62e04971-b223-44f6-9b72-babb6d28b336 · outbound

This paper cites Graphmae: Self-supervised masked graph autoencoders,.

Multi-Modal Molecular Representation Learning via Structure Awareness Graphmae: Self-supervised masked graph autoencoders,

Reference 21

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Source-reported events for the cited work

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Observation 2265d879-2b25-4481-8f91-54617e707014 · outbound

This paper cites Correntropy-induced wasserstein gcn: Learning graph embedding via domain adaptation,.

Multi-Modal Molecular Representation Learning via Structure Awareness Correntropy-induced wasserstein gcn: Learning graph embedding via domain adaptation,

Reference 22

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Source-reported events for the cited work

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Observation b2ae977b-9d90-4f3c-aed2-5054e0cead70 · outbound

This paper cites Pre-training via Denoising for Molecular Property Prediction.

Multi-Modal Molecular Representation Learning via Structure Awareness Pre-training via Denoising for Molecular Property Prediction

Reference 23

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Source-reported events for the cited work

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Observation 77d5b5ce-10af-4000-b7e0-0f6c1b3d9753 · outbound

This paper cites Fractional denoising for 3d molecular pre-training,.

Multi-Modal Molecular Representation Learning via Structure Awareness Fractional denoising for 3d molecular pre-training,

Reference 24

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Source-reported events for the cited work

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Observation c5dd6590-baff-48e9-b1b0-a298de72310c · outbound

This paper cites Molecular geometry pretraining with se(3)- invariant denoising distance matching,.

Multi-Modal Molecular Representation Learning via Structure Awareness Molecular geometry pretraining with se(3)- invariant denoising distance matching,

Reference 25

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Source-reported events for the cited work

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Observation 13b63c31-1673-439a-9340-15fb2e27c30f · outbound

This paper cites Time frequency representations and deep convolutional neural networks: a recipe for molecular properties prediction,.

Multi-Modal Molecular Representation Learning via Structure Awareness Time frequency representations and deep convolutional neural networks: a recipe for molecular properties prediction,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bfb74883-fadc-43e3-9e45-757750f352ae · outbound

This paper cites Pre-training Molecular Graph Representation with 3D Geometry.

Multi-Modal Molecular Representation Learning via Structure Awareness Pre-training Molecular Graph Representation with 3D Geometry

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 850521be-875f-456d-9c12-eccd912e856e · outbound

This paper cites Quantitative toxicity prediction via meta ensembling of multitask deep learning models,.

Multi-Modal Molecular Representation Learning via Structure Awareness Quantitative toxicity prediction via meta ensembling of multitask deep learning models,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 89e2f879-85f4-41c9-be43-9d0d5a094019 · outbound

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

Multi-Modal Molecular Representation Learning via Structure Awareness A comprehensive survey on graph neural networks,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 05c23da7-0d77-43ce-b4e9-84c54287be08 · outbound

This paper cites Gpt-gnn: Generative pre-training of graph neural networks,.

Multi-Modal Molecular Representation Learning via Structure Awareness Gpt-gnn: Generative pre-training of graph neural networks,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.873589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a67e8a7c-faa2-4b44-b846-7573881541b2 · outbound

This paper cites An effective self-supervised framework for learning expres- sive molecular global representations for drug discovery,.

Multi-Modal Molecular Representation Learning via Structure Awareness An effective self-supervised framework for learning expres- sive molecular global representations for drug discovery,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 65f11120-cc3d-4c22-8f45-9dfc619e7d4b · outbound

This paper cites Motif-based graph self-supervised learning for molecular property prediction,.

Multi-Modal Molecular Representation Learning via Structure Awareness Motif-based graph self-supervised learning for molecular property prediction,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fa150d6a-2fcc-4aa3-a501-89a1721d5dcb · outbound

This paper cites Unified 2d and 3d pre-training of molecular representations,.

Multi-Modal Molecular Representation Learning via Structure Awareness Unified 2d and 3d pre-training of molecular representations,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 93fe705d-4ca6-40d0-ae15-bde1aa91af77 · outbound

This paper cites 3d infomax improves gnns for molecular property prediction,.

Multi-Modal Molecular Representation Learning via Structure Awareness 3d infomax improves gnns for molecular property prediction,

Reference 34

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raw_fallback, observed 2026-08-15T22:58:53.835913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 107651f9-0ba0-4c21-a4a4-3e0628f517df · outbound

This paper cites Graph-based Molecular Representation Learning.

Multi-Modal Molecular Representation Learning via Structure Awareness Graph-based Molecular Representation Learning

Reference 35

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no resolver link, observed 2026-08-15T22:58:53.455495Z

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Observation e6a203bb-2b64-44ec-a244-8e8d6f2da9cb · outbound

This paper cites Geometry-enhanced molecular representation learning for property prediction,.

Multi-Modal Molecular Representation Learning via Structure Awareness Geometry-enhanced molecular representation learning for property prediction,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation be3c2c91-9e97-46bf-9bd4-d93c3405ae12 · outbound

This paper cites Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework,.

Multi-Modal Molecular Representation Learning via Structure Awareness Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework,

Reference 37

Resolution
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no resolver link, observed 2026-08-15T22:58:53.462770Z

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Unavailable: canonical work link unavailable.

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Observation 1be87c82-8afe-4afc-aa6d-6bd32c53d037 · outbound

This paper cites Learning functional group chemistry from molecular images leads to accurate prediction of activity cliffs,.

Multi-Modal Molecular Representation Learning via Structure Awareness Learning functional group chemistry from molecular images leads to accurate prediction of activity cliffs,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.811381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4a36b7e0-c592-4748-9956-012860ec74a8 · outbound

This paper cites Graseq: Graph and sequence fusion learning for molecular property prediction,.

Multi-Modal Molecular Representation Learning via Structure Awareness Graseq: Graph and sequence fusion learning for molecular property prediction,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.802175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f43b8be6-a38c-4014-bcbd-9110c7717209 · outbound

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

Multi-Modal Molecular Representation Learning via Structure Awareness Semi-supervised classification with graph convolutional networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.792530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.472906Z digest=sha256:c3b25fb5392077f1be76c5b453f145fdbc01daf0b95de5df6ba875f3f865af8f

Observation 5d263f7e-c69c-475d-bdad-f022256050d8 · outbound

This paper cites Bidirectional LSTM-CRF Models for Sequence Tagging.

Multi-Modal Molecular Representation Learning via Structure Awareness Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 41

Resolution
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no resolver link, observed 2026-08-15T22:58:53.475957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7af21a3e-bb65-4c4d-a471-ef73359c2079 · outbound

This paper cites An image-enhanced molecular graph representation learning framework,.

Multi-Modal Molecular Representation Learning via Structure Awareness An image-enhanced molecular graph representation learning framework,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.783169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.479439Z digest=sha256:405fbfd8f45a50a0b51548b7df1f79a9fdc33adfa2ae3af85d4979d5edd46b78

Observation b7f416f2-40dd-455e-b2c7-97de5b954902 · outbound

This paper cites How powerful are graph neural networks?.

Multi-Modal Molecular Representation Learning via Structure Awareness How powerful are graph neural networks?

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.773615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.482680Z digest=sha256:814719d99d00280e938658e49d56ae0d5355b4a3a7c5aaa65ba33fdbae9714b5

Observation fcf0f646-b370-4caf-9dec-e74632c0a242 · outbound

This paper cites Deep residual learning for image recognition,.

Multi-Modal Molecular Representation Learning via Structure Awareness Deep residual learning for image recognition,

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T22:58:53.486254Z digest=sha256:2507bdcf0c01e403a859922c33ac5124b36ed267d439bf44f4c7cafe12222784

Observation 891bdd50-36aa-4256-bd17-93586ad5d867 · outbound

This paper cites Comenet: Towards complete and efficient message passing for 3d molecular graphs,.

Multi-Modal Molecular Representation Learning via Structure Awareness Comenet: Towards complete and efficient message passing for 3d molecular graphs,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T22:58:53.489534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation add53b1b-c2ed-4055-98ee-a4b9d7b39c1e · outbound

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

Multi-Modal Molecular Representation Learning via Structure Awareness Hgnn+: General hypergraph neural networks,

Reference 46

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unresolved
no resolver link, observed 2026-08-15T22:58:53.492680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:58:53.492680Z digest=sha256:8f7a36b42d04c6ef5dc6f48a3b8ea69fb2385c05ce440b03d72d5df4f28d566e

Observation 551d483e-e5a8-425b-ae46-f6c244a52171 · outbound

This paper cites Geom, energy-annotated molec- ular conformations for property prediction and molecular generation,.

Multi-Modal Molecular Representation Learning via Structure Awareness Geom, energy-annotated molec- ular conformations for property prediction and molecular generation,

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.495893Z digest=sha256:2e95614e31ab971267c989b09e68760f56bc8a05b8040bb2627df05574ac3517

Observation 8e893734-99c3-40d0-a7f1-6c105e7a3cfc · outbound

This paper cites Moleculenet: A benchmark for molecular machine learning,.

Multi-Modal Molecular Representation Learning via Structure Awareness Moleculenet: A benchmark for molecular machine learning,

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.737484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.498982Z digest=sha256:97a6e509841da2f597e52e796aa71d4c00ce452e0ed51245c164320521bd06cb

Observation 2ac6bf1e-ddcc-492b-9300-5d642b04e873 · outbound

This paper cites Ramsundar, P.

Multi-Modal Molecular Representation Learning via Structure Awareness Ramsundar, P

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.502043Z digest=sha256:cb321ea76527f16a0a691fb5f728ca6f3533b5ba8e9f7b9d17b0e45901f28d38

Observation 8556a0c3-3e57-4fea-a1a8-4f1c50388581 · outbound

This paper cites Inductive representation learning on large graphs,.

Multi-Modal Molecular Representation Learning via Structure Awareness Inductive representation learning on large graphs,

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.505044Z digest=sha256:25353f672431c38f2869f7be1ba48b5df7087e78519bf4a6c60afc6d71208dd2

Observation a0b70a35-156d-455f-8619-f76bf1134102 · outbound

This paper cites InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.

Multi-Modal Molecular Representation Learning via Structure Awareness InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24bbc7f1-d369-4556-a7d6-b6c7cbe3cef2 · outbound

This paper cites Self-supervised graph-level representation learning with local and global structure,.

Multi-Modal Molecular Representation Learning via Structure Awareness Self-supervised graph-level representation learning with local and global structure,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.708873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.511745Z digest=sha256:be58951ccbfc7546d5fbf6358e23b3ec06cb365dfc0d74434e928abc338c2cd6

Observation 2c0b0343-a9cb-4580-9031-13ce414f37f9 · outbound

This paper cites Graph contrastive learning automated,.

Multi-Modal Molecular Representation Learning via Structure Awareness Graph contrastive learning automated,

Reference 53

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44738567-8a01-470b-9e77-58eed8c209eb · outbound

This paper cites Mole- bert: Rethinking pre-training graph neural networks for molecules,.

Multi-Modal Molecular Representation Learning via Structure Awareness Mole- bert: Rethinking pre-training graph neural networks for molecules,

Reference 54

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.517901Z digest=sha256:e693f6447e040691541da5a83019c6f8b00994d434a907112f7d41337e023f8b

Observation d0909492-51e2-43ec-b8e2-eeedb0cccc6c · outbound

This paper cites A group symmetric stochastic differential equation model for molecule multi-modal pretrain- ing,.

Multi-Modal Molecular Representation Learning via Structure Awareness A group symmetric stochastic differential equation model for molecule multi-modal pretrain- ing,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.682074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.520942Z digest=sha256:391e00537afa47856b686940f605c00bcea6b4b4ad5d4f7b0ff39e5b4fb6b520

Observation 2469bcca-9ba9-4509-93ff-adedb33ceadb · outbound

This paper cites Graph attention networks,.

Multi-Modal Molecular Representation Learning via Structure Awareness Graph attention networks,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.671147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.523908Z digest=sha256:90ed679577a8028a15314c52f5e4fc60f183a3b4a6b1d4beb38dff5bc7ad5858

Observation 14069f89-37ed-4a58-81b5-2e9a2b3951e0 · outbound

This paper cites Do transformers really perform badly for graph representation?.

Multi-Modal Molecular Representation Learning via Structure Awareness Do transformers really perform badly for graph representation?

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.660446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.526883Z digest=sha256:73925cb493c6e8d56cf331b6793fb046c75118a7f3aa91daf688467de8c461e3

Observation 78619ecd-cb9f-4452-bb16-3933379dd594 · outbound

This paper cites A cluster separation measure,.

Multi-Modal Molecular Representation Learning via Structure Awareness A cluster separation measure,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.649567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T22:58:53.529915Z digest=sha256:c563813d297828adc2c42751dadb1a0fc1f1df85bf4e52efc9164e4cc23b7825

Observation 8e6010e3-2ecb-4843-9cdf-3508644b7e43 · outbound

This paper cites Excellent Talent Introduction.

Multi-Modal Molecular Representation Learning via Structure Awareness Excellent Talent Introduction

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:58:53.639863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.