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Paper Citation Record · LEDGER

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation

As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.10658.

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

pith.paper-citation-record.v1
2506.10658 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:24:55.316493Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1842ec64-5282-43ec-aa4c-98040fb69feb · outbound

This paper cites Adaptive long-term embedding with denoising and augmentation for recommendation, 2025.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Adaptive long-term embedding with denoising and augmentation for recommendation, 2025

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 08113561-9b29-49bd-98c8-94189936e2eb · outbound

This paper cites A systematic study on the recommender systems in the e- commerce.IEEE Access, 8:115694–115716, 2020.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation A systematic study on the recommender systems in the e- commerce.IEEE Access, 8:115694–115716, 2020

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.620678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 39288b6f-6f23-4c39-933d-2c40a27c6eab · outbound

This paper cites Facial emotion recognition and music recommendation system using cnn-based deep learning techniques.Evol.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Facial emotion recognition and music recommendation system using cnn-based deep learning techniques.Evol

Reference 3

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raw_fallback, observed 2026-08-07T04:24:55.614226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2621115f-84d5-493a-9517-72fc5763b853 · outbound

This paper cites Cand` es, and Zuowei Shen.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Cand` es, and Zuowei Shen

Reference 4

Resolution
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raw_fallback, observed 2026-08-07T04:24:55.608075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.224963Z digest=sha256:881c7612a85276bd0b7fc8c42850fe90f64d3fada5e32070c4af8904df4380a3

Observation e963f5d3-58d4-4240-905a-c58ca9c3b3ed · outbound

This paper cites Lightgcl: Simple yet effective graph contrastive learning for recommendation.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Lightgcl: Simple yet effective graph contrastive learning for recommendation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.602257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.227366Z digest=sha256:8be0f3919672621b045729329875d0d005654f8ceff7c37009f11cb337918135

Observation 1b2e740e-0aaf-4305-ae59-87c95da90f8e · outbound

This paper cites Cand` es and Benjamin Recht.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Cand` es and Benjamin Recht

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.596208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.229431Z digest=sha256:c1cd91f20fab511b775114a1129f67b9bdd7e029261049857240f4704ed8bd1c

Observation 2d886353-c23b-4daf-b8db-ad27f88c521c · outbound

This paper cites Half a decade of graph convolutional networks.Nat.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Half a decade of graph convolutional networks.Nat

Reference 7

Resolution
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raw_fallback, observed 2026-08-07T04:24:55.590474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.231838Z digest=sha256:9a8983273fae08d7c84f206572973e2b4f27168dda7a48dd8288d2ac979effe9

Observation 114f34e0-24d5-47c7-88c5-d3977437c6f1 · outbound

This paper cites an unresolved cited work.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-07T04:24:55.584793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.233759Z digest=sha256:b0cf5d52022e341910dab9023e41876edca274c410ffef1f54456e83080d13bf

Observation 06432d3f-116c-4aa7-9592-8c4f1370df41 · outbound

This paper cites Probabilistic ma- trix factorization recommendation approach for integrating multiple information sources.IEEE Trans.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Probabilistic ma- trix factorization recommendation approach for integrating multiple information sources.IEEE Trans

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.577650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.235975Z digest=sha256:85f57e0775f0c3d08b8cee995bd7474dd6034197363e21c8e2af220bc8bc77d0

Observation 0991b2c7-268a-4966-af3e-f93ff32b5376 · outbound

This paper cites Geometric matrix completion via sylvester multi-graph neural network.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Geometric matrix completion via sylvester multi-graph neural network

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.571270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.238128Z digest=sha256:92d20ed26039e9e02c8f5ff6b3f5d6ba78cb8fd6c4421610e3023cf2956ef8b3

Observation 1088cd99-5c61-4283-880c-5260cfc2471b · outbound

This paper cites A survey of explainable e-commerce recommender systems.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation A survey of explainable e-commerce recommender systems

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.564937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.240136Z digest=sha256:ed687130a9bf73992af8daaa603bbda5facd305d614fab6549291cb8ea4bc461

Observation c175fe26-89d7-4e16-805d-5d25876258c8 · outbound

This paper cites Content augmented graph neural networks.ACM Trans.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Content augmented graph neural networks.ACM Trans

Reference 12

Resolution
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raw_fallback, observed 2026-08-07T04:24:55.558533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.243002Z digest=sha256:d7c58dba5529cd39fedcb5476a97cc132eea7ac697f9cb24e49596ba335fbcbc

Observation 55e6777e-9113-4361-8878-d10b824f74ca · outbound

This paper cites Heterophily-Aware Fair Recommendation using Graph Convolutional Networks.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

Reference 13

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unresolved
no resolver link, observed 2026-08-07T04:24:55.245368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:24:55.245368Z digest=sha256:f85f7e023539b7db5203354c3c64b1d0e88125496768769415c96fee527d2f2e

Observation 44f8f83a-4b54-4ad0-a971-12476dbf60d8 · outbound

This paper cites Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T04:24:55.247643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:24:55.247643Z digest=sha256:cdc258b6a3184966793b386e0ac4571b01a2b06256fb7d840ef388a0eb3ee058

Observation c336dae0-a65f-48bb-87e3-b6a85b6a5caf · outbound

This paper cites Keyword-enhanced recommender system based on inductive graph matrix completion.Eng.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Keyword-enhanced recommender system based on inductive graph matrix completion.Eng

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.552203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.250057Z digest=sha256:42bee77c08967a8232aab0fca7823df6ba056474ba5d19edb2859805bcb3f06c

Observation 419c309a-e87f-46f6-85fa-269c6c813924 · outbound

This paper cites Neural collab- orative filtering.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Neural collab- orative filtering

Reference 16

Resolution
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raw_fallback, observed 2026-08-07T04:24:55.545045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.251995Z digest=sha256:28c326651ac718dfba92374f88d3c897da5fa455972006f905c9c56fab767cd4

Observation f9640b97-579d-4483-a3e4-dda78f18279f · outbound

This paper cites Reducing the dimensionality of data with neural networks.science, 313(5786):504–507, 2006.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Reducing the dimensionality of data with neural networks.science, 313(5786):504–507, 2006

Reference 17

Resolution
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raw_fallback, observed 2026-08-07T04:24:55.538249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.254723Z digest=sha256:4f59b6ca118c94b8739ded8978313248a4756789a0d865298d4a7086a4763144

Observation 1b40818e-ed95-421a-ae4d-601b37fcbc62 · outbound

This paper cites imovierec: a hybrid movie recommendation method based on a user-image-item model.Int.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation imovierec: a hybrid movie recommendation method based on a user-image-item model.Int

Reference 18

Resolution
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raw_fallback, observed 2026-08-07T04:24:55.531952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.256811Z digest=sha256:02e35e1f66951c1e73ff84c362a613d46473fe84be5bf21873a666e5ecce1f7d

Observation bb696d3a-9558-491e-82eb-6fb3c0a87643 · outbound

This paper cites Regularized singular value decomposition in news recommendation system.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Regularized singular value decomposition in news recommendation system

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.525398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.258822Z digest=sha256:e1c4f68262681c14d3285d287aec5709eaf08b9b4c6eda87921026fefabe2306

Observation 986a856e-a044-4e1e-af5b-e3cdcdc305bf · outbound

This paper cites Adaptive graph contrastive learning for recommendation.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Adaptive graph contrastive learning for recommendation

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.519014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.261154Z digest=sha256:7c3c9b02f9113753c10b708d7ffc4d82b2b9e6887b8a130b52f0b9d1fda590c2

Observation d6a8b6d6-b3cb-4dc7-8285-3d951b51ac6a · outbound

This paper cites Recent developments in affective recommender systems.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Recent developments in affective recommender systems

Reference 21

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raw_fallback, observed 2026-08-07T04:24:55.512497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.262972Z digest=sha256:04f3367390244cfaef76b7e32ea2c87456939cef09d2b389944c093fd272f7f7

Observation 2bbd51fa-8228-4ee1-9748-97e3ba00e9bc · outbound

This paper cites Kingma and Max Welling.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Kingma and Max Welling

Reference 22

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no resolver link, observed 2026-08-07T04:24:55.264970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:24:55.264970Z digest=sha256:74eb865dea06894448c5700965390da581c4d8899e65d42a8fbafdde5a60181d

Observation 265becdb-8fa5-46eb-b777-22938098c2bc · outbound

This paper cites Variational Graph Auto-Encoders.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Variational Graph Auto-Encoders

Reference 23

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no resolver link, observed 2026-08-07T04:24:55.267072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:24:55.267072Z digest=sha256:6384913d221ac80f0d437fe639dace5bb06dd2cd96152159ace2ce2720590cca

Observation 464a7664-1f06-43c5-add8-ca1b33dc3caf · outbound

This paper cites Kipf and Max Welling.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Kipf and Max Welling

Reference 24

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raw_fallback, observed 2026-08-07T04:24:55.502574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.269583Z digest=sha256:5f9630ba1182112ea7ff0d8a5830df90c20e6e345868fea19eb4928cbd378f17

Observation 9ad69e20-d236-450d-9368-b4cb079eac7a · outbound

This paper cites Factorization meets the neighborhood: a multifaceted collaborative filtering model.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Factorization meets the neighborhood: a multifaceted collaborative filtering model

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.496917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.271656Z digest=sha256:1438b1978b92835e11d8fd351c1a5792979498bbf65f2d0b27b6c0825e944cd1

Observation 2ff4410e-a192-472f-9606-fb5553e4a49f · outbound

This paper cites Bell, and Chris Volinsky.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Bell, and Chris Volinsky

Reference 26

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raw_fallback, observed 2026-08-07T04:24:55.490611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.273549Z digest=sha256:ba4c1fc3fabf41227f8cc233c587d56f1ef7ddbfd5eb5020e997f22f51ceb7c3

Observation 14e1e236-ce6b-4b15-b13d-da8313f09e15 · outbound

This paper cites Lee and H.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Lee and H

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.484820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.275826Z digest=sha256:1266467305be1c60d4843b3692321f4fb3b5e9fe1e9f984c02aeed8bd7651a93

Observation 3f035e60-6fd6-4e77-bb4d-d9dfeee4c802 · outbound

This paper cites Spectral regularization algorithms for learning large incomplete matrices.J.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Spectral regularization algorithms for learning large incomplete matrices.J

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.479054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.277804Z digest=sha256:56a999f7e5bf2bd581e9792bb595a2d1f29eab4ef7f25a351591f28e82ef08bb

Observation 7ff4e2be-bdb3-49d0-9c7d-0288b2fdb4cf · outbound

This paper cites Intelligible graph contrastive learning with attention-aware for recommendation.Neurocomputing, 614:128781, 2025.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Intelligible graph contrastive learning with attention-aware for recommendation.Neurocomputing, 614:128781, 2025

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.473004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.279789Z digest=sha256:444469b6a1d63824dd54750f3db6c34f8b3b605d3a7ac10db429d294cf970377

Observation d46195cb-6606-4e11-a9b5-02664f7263b2 · outbound

This paper cites Current challenges and visions in music recommender systems research.Int.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Current challenges and visions in music recommender systems research.Int

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.466789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.281776Z digest=sha256:77f0265b7c311354d5c66280134389cb076a6a247de249f30cf9829dcecab26c

Observation 1f0227c0-8a49-486b-b974-5cb35d46e45d · outbound

This paper cites Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.461043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.283714Z digest=sha256:a51aee95038772cd638d3589e1b9d3d725d92c1206899d52802d7722e72ff3b2

Observation f22c868d-ec68-4c98-b2cb-669704602c00 · outbound

This paper cites Autorec: Autoencoders meet collaborative filtering.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Autorec: Autoencoders meet collaborative filtering

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.455290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.285663Z digest=sha256:99bfd706691b2590f65a17a97a3c8696ff88014f1608a21fc51aa49b9053eca8

Observation 26cb89f3-c916-4ced-8a83-716f58a4ffad · outbound

This paper cites Inductive matrix completion using graph autoencoder.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Inductive matrix completion using graph autoencoder

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.449348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.287610Z digest=sha256:adfd5e653e2ff2c3ed570f2c6716194aa399c1b9cb89c88ca927d44e1aeb2c8d

Observation 5b532d1a-6fcd-4c56-bc8d-0aa55ac303d4 · outbound

This paper cites Context-aware recommender systems for social networks: Review, challenges and opportunities.IEEE Access, 9:57440–57463, 2021.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Context-aware recommender systems for social networks: Review, challenges and opportunities.IEEE Access, 9:57440–57463, 2021

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.442932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.289576Z digest=sha256:7e36adbe69244987cd6c441fa740a49a03a61e4cfdc0336c5d5a8b5969621bb2

Observation 6056195e-37c6-4857-89e6-af4e1860c44f · outbound

This paper cites Graph Convolutional Matrix Completion.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Graph Convolutional Matrix Completion

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T04:24:55.291499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:24:55.291499Z digest=sha256:c14867eeaebbf5e6ba4e41ecc284ab15c2a49ffe9f8e02fa6e6677f28f73e45b

Observation 417c1a69-fa8d-4b9f-a3f4-2f61b3ee839c · outbound

This paper cites Theoretically accurate regularization technique for matrix factorization based rec- ommender systems.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Theoretically accurate regularization technique for matrix factorization based rec- ommender systems

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.436574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.294112Z digest=sha256:cbd59c7e9f43fad73e4a1942b8e3e33638922becf804df3ff14dcbad7a83f979

Observation 17b57555-3434-4c87-8bf2-8b85d9aa8729 · outbound

This paper cites Multi-level cross-modal con- trastive learning for review-aware recommendation.Expert Syst.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Multi-level cross-modal con- trastive learning for review-aware recommendation.Expert Syst

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.430325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.296033Z digest=sha256:3c07cb1ab28a5b12f0961b73079088e202c4f552d5f639c3129d47c0a7cc5e96

Observation 79083752-4cd5-4e45-a371-2179a1606caf · outbound

This paper cites Solving a low-rank factorization model for matrix com- pletion by a nonlinear successive over-relaxation algorithm.Math.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Solving a low-rank factorization model for matrix com- pletion by a nonlinear successive over-relaxation algorithm.Math

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.424019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.297974Z digest=sha256:f0fe3bf4af495e1ca69b4c2947613828e0a0bb403c22649cdb8d0a08cd0a7541

Observation 75e80973-c024-4551-93dd-315ea7412538 · outbound

This paper cites Self-supervised graph learning for recommendation.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Self-supervised graph learning for recommendation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.416946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.299941Z digest=sha256:93a3abc0e890981091e7297f1ff9b1bfc3da9ee0198ec898da66fa4278382dd5

Observation 07e7d416-4ded-43c5-b101-471dd0cf067c · outbound

This paper cites A neural matrix decomposition recommender system model based on the multimodal large language model.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation A neural matrix decomposition recommender system model based on the multimodal large language model

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.410780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.302137Z digest=sha256:18cb8c82b66da503783d5db3b5f3acb82781c579c113db55c37ef1ea2f5a199f

Observation a7e6cc55-074e-44ad-8c3a-43292fc84a00 · outbound

This paper cites Are graph augmentations necessary?: Simple graph contrastive learning for recommendation.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Are graph augmentations necessary?: Simple graph contrastive learning for recommendation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.404089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.304064Z digest=sha256:e3805beb9ed234957f8d6494835ec2ad69697efa9dad28d2285d8009f9231842

Observation fd2d3a4f-ba64-45bd-bdd0-86b5733f3f27 · outbound

This paper cites Inductive matrix completion based on graph neural networks.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Inductive matrix completion based on graph neural networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.397367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.306419Z digest=sha256:478738ebadeeaf5be0f914e42d4824d6f37a2bec892bd54cc04988ffd28df700

Observation 501d01fb-7c87-426b-889e-30cf026bd4c6 · outbound

This paper cites Wilkinson, Robert Schreiber, and Rong Pan.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Wilkinson, Robert Schreiber, and Rong Pan

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.390482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.308356Z digest=sha256:a519329945f8a6538f0eb32463743cb984a9e3786fb86db816e31255a9bf944c

Observation 48257e83-632e-4adb-892a-26f21d9f0145 · outbound

This paper cites Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers.Journal of the American Statistical Association, 109(507):977–990, 2014.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers.Journal of the American Statistical Association, 109(507):977–990, 2014

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.384179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.310342Z digest=sha256:7d6e551680117fd1442701d66c6fb61f4b012f20b73e0b44acfa6b22ce101e61

Observation 8b397649-2af0-4a13-960c-197a63c50b4a · outbound

This paper cites Matrix completion of adaptive jumping graph neural networks for recommendation systems.IEEE Access, 11:88433–88450, 2023.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Matrix completion of adaptive jumping graph neural networks for recommendation systems.IEEE Access, 11:88433–88450, 2023

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.376806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.312395Z digest=sha256:f29e47ee472c4f7bb4b6a9b43f33b25a42ff43084ea6696a86c512a0183fe4bf

Observation c1c85e8e-5b13-4ef2-ad53-6daaeb85b0d1 · outbound

This paper cites Sina Ziaee, Hossein Rahmani, and Mohammad Nazari.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Sina Ziaee, Hossein Rahmani, and Mohammad Nazari

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.369522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.314528Z digest=sha256:13034f01698341fd9ef0413ab2535cba58a684e50a0b5070295926ffecfd90f3

Observation edc9f88d-80f8-4bc4-b9ee-aa77369a1866 · outbound

This paper cites Centrality- based and similarity-based neighborhood extension in graph neural networks.J.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Centrality- based and similarity-based neighborhood extension in graph neural networks.J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:24:55.362615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:24:55.316493Z digest=sha256:124a874b3fda39a742812502373775dc535c481ddd6327f9bf39bdc5e296633e

Pith citing papers

No inbound Pith citation observations are available.