The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation | Paper Citation Record

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:58.894331Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:58.784741Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:58.354233Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:58.316248Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:58.238440Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:58.155469Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:58.009194Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:57.498969Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:57.189706Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Graph-MLP: Node Classification without Message Passing in Graph

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Adam: A Method for Stochastic Optimization

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.735473Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.664741Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.631413Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.584623Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.576536Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.513349Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.504053Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:36:54.614752Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

Reference 34

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.413280Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:56.391532Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:36:56.457890Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:36:54.548462Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Observation 5cd92281-9c20-4211-862a-6b45afedc0b7 · outbound

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Your Graph Recommender is Provably a Single-view Graph Contrastive Learning

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:36:54.517076Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation In Proceedings of the ACM on Web Conference 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:36:55.985388Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation MMRec: Simplifying Multimodal Recommendation

Reference 54

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:55.780313Z

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:55.684877Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T14:36:55.534744Z

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Observation 83a77eb9-57ad-4030-8166-5596d4b352d5 · outbound

This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:54.369783Z

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 59

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This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 61

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This paper cites • MMGCN [31] applies a GCN for each modality to learn modality- specific features and then integrates all user-predicted ratings across modalities to produce the final rating.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation • MMGCN [31] applies a GCN for each modality to learn modality- specific features and then integrates all user-predicted ratings across modalities to produce the final rating

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:36:55.234910Z

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Observation 8669a7c5-d29c-43ad-a5f2-8a3a4d2e2865 · outbound

This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 70

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Observation 79d0a1f5-fb3f-448f-9aeb-f3acbd1cceb7 · outbound

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The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 2012

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This paper cites In Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation In Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval

Reference 2015

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Observation b72e63e3-f1b0-458d-be98-7f445e219b48 · outbound

This paper cites Advances in neural information processing systems 32 (2019).

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Advances in neural information processing systems 32 (2019)

Reference 2019

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Observation e966288f-20ff-4d10-88e6-1c1ec43be330 · outbound

This paper cites In Proceedings of the 29th ACM International Conference on Multimedia.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation In Proceedings of the 29th ACM International Conference on Multimedia

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:54.247958Z

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Observation ed377547-b15c-4229-85af-48cf253e9744 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering 35, 9 (2022), 9154–9167.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation IEEE Transactions on Knowledge and Data Engineering 35, 9 (2022), 9154–9167

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:36:55.926724Z

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Observation def023ec-fa72-4560-b09a-ff4afb1a1ae9 · outbound

This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 2023

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Observation b13859ac-fd0d-4dd9-b615-aa5864486552 · outbound

This paper cites an unresolved cited work.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:53.931180Z

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Observation cc257e01-b37e-44a0-bf99-69518dcba2e6 · outbound

This paper cites In Proceedings of the AAAI Conference on Artificial Intelligence , Vol.

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation In Proceedings of the AAAI Conference on Artificial Intelligence , Vol

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:36:56.365758Z

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Coverage vector

Reference resolution

Outbound references

Pith citing papers