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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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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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 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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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 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

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

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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

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

source=pdf_text observed=2026-08-07T04:24:55.227366Z digest=sha256:73e370a78d729ae5090a1be3e0ef7a1710f79d81cdd4049362342dcb27181877

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

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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

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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=2026-08-07T04:24:55.231838Z digest=sha256:38f3a7e5d482677c9b03dfbf681f616b018c99cda40794109818642eb1379de6

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

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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

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

source=pdf_text observed=2026-08-07T04:24:55.235975Z digest=sha256:5a7234abb53349b8f44b7049d907a1188272b501df23f2b1ab6d2954cd3c7c2b

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

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

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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

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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=2026-08-07T04:24:55.240136Z digest=sha256:a02c1eec8a52f70f65ee08a6b40819ce6cc75725ab47faf366e80ddbadcda0f6

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

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

source=pdf_text observed=2026-08-07T04:24:55.243002Z digest=sha256:6a0c0109d9609372ab627ba150043534115a7ae2f8ce7f6ab041f85c51d8b418

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

source=pdf_text observed=2026-08-07T04:24:55.250057Z digest=sha256:ef86dba933458dcc2de952e8b11721939770f20ac5d3622ec442143dad4b35a1

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

source=pdf_text observed=2026-08-07T04:24:55.251995Z digest=sha256:7977e187f1f282d7772b7317509cb8d64bc30eacb4d00357023aedbffbb363a0

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

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

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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

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

source=pdf_text observed=2026-08-07T04:24:55.256811Z digest=sha256:4c14e5a3c4de0597bb3a6fea89d367afdcb3a482bf38be1257d144d79b7fadb4

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

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

source=pdf_text observed=2026-08-07T04:24:55.258822Z digest=sha256:b270faf01dfe4aee1eec14f4fb0677b8908251536d13a2077e121b447fb33c8b

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

source=pdf_text observed=2026-08-07T04:24:55.261154Z digest=sha256:8580cc768beb08332b5041c2d23b2ed435a27e66912e2626cfb13962672b4282

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

source=pdf_text observed=2026-08-07T04:24:55.262972Z digest=sha256:2450b49cb5217849a490bbe2e80f22fbe40a40cb40b0f402aba61da55858f71c

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

source=pdf_text observed=2026-08-07T04:24:55.269583Z digest=sha256:5e4c3ab42933b0cd9e511758ca0caad0ff5aa60ad13247f629e3e2612367c548

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

source=pdf_text observed=2026-08-07T04:24:55.271656Z digest=sha256:22505c8b8144a1acd5ec7c8063cac9819805fb9600920c220a6921365e04fde6

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

source=pdf_text observed=2026-08-07T04:24:55.273549Z digest=sha256:63f99e4209bd9cacfb1b557625db36913549fb4b98d7b085989b1d7a827c5880

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

source=pdf_text observed=2026-08-07T04:24:55.275826Z digest=sha256:57e44a1ef960c317b5aaf23d819ea6e9a8c23acdc32509a8fa68ad8e14ec3c8f

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

source=pdf_text observed=2026-08-07T04:24:55.277804Z digest=sha256:2fa6590e11c24617442d2a9dda72405e882bb40eeb67a135061c68b4b179adbe

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

source=pdf_text observed=2026-08-07T04:24:55.279789Z digest=sha256:64e89ed95076296570b0c92aa664b3755a56505fdc1d073e393205d7473bfd1c

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

source=pdf_text observed=2026-08-07T04:24:55.281776Z digest=sha256:67b8bdaea5dcb6acd92a60dc1e79631d604bb9942f506124abe8a7c31a445fa7

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

source=pdf_text observed=2026-08-07T04:24:55.283714Z digest=sha256:63d3628e8e22d93f6752ee5d5ba2f5e0c02b7acf62e503fd054fd3b982ed8ecd

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

source=pdf_text observed=2026-08-07T04:24:55.285663Z digest=sha256:f078bfc060a77594d5c9afd2c79e3752155c2ab8ec31e081ae750fd04bb17314

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

source=pdf_text observed=2026-08-07T04:24:55.287610Z digest=sha256:8786ef7bf4007165a808f94fa09739cb5c7c5b6eae823d206e564f26be78e703

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

source=pdf_text observed=2026-08-07T04:24:55.289576Z digest=sha256:5dcd36948c48d4cc6af7512a1777d80c5fe9983bc114be323489dcea1f317e3c

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

source=pdf_text observed=2026-08-07T04:24:55.294112Z digest=sha256:a4a676a895871d69925d7340c767e871e670186958a437628ac0d4c50ad926b7

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

source=pdf_text observed=2026-08-07T04:24:55.296033Z digest=sha256:732455161a6389b6d41c19dac7f8ee87d8ba110665eca5552e0436e39750962a

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

source=pdf_text observed=2026-08-07T04:24:55.297974Z digest=sha256:087d3b887d22a3e770be5ed685746deaf5f7f0e7c3ecb969ebd23736a73d56fd

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

source=pdf_text observed=2026-08-07T04:24:55.299941Z digest=sha256:dc3d2f3cff22d01be79d4fa17afe046e61fad0dac63eb337113311d5bebd9bed

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

source=pdf_text observed=2026-08-07T04:24:55.302137Z digest=sha256:f6fc4ad283fba1fa9bdba10b9b3c4a234e1315ff4f2117d84c11a1b9f4049b2a

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

source=pdf_text observed=2026-08-07T04:24:55.304064Z digest=sha256:36ffbaa5918681184ab55314b25b5bcae55ddc012ebc7889330fa559cca52297

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

source=pdf_text observed=2026-08-07T04:24:55.306419Z digest=sha256:67931a0e592a7d21121c9b3e45a65c22183816e2f7e2d0395968096b18dc9065

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

source=pdf_text observed=2026-08-07T04:24:55.308356Z digest=sha256:bb9bf632e32fa8ebd9f8bef3724a0c53366c787e38c62275a2edfe40bbc05d82

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

source=pdf_text observed=2026-08-07T04:24:55.310342Z digest=sha256:5547dc38bdbe90a0b1c35776d96c8c3fa264905bceed159546aa14a080815b28

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

source=pdf_text observed=2026-08-07T04:24:55.312395Z digest=sha256:9c76331538061fb860d0ec481a2a834371df2f720c50fbc6bd42c0c4d662b05f

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

source=pdf_text observed=2026-08-07T04:24:55.314528Z digest=sha256:05de222540afaf5ebc1a9664c0d4ff5b74f58b93dc52c3179285c01d05833234

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

source=pdf_text observed=2026-08-07T04:24:55.316493Z digest=sha256:28e3739f4f50fb285f20cb159f4f731691d1067495627b7cb3b0368cfe571667

Pith citing papers

No inbound Pith citation observations are available.