Multi-modal Recommendation

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (30 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
  6 Feb 2020 18 repositories listed Syntology ran 2 of 7 samples · 5 unverified · 2 pointer-only (licence)
  We propose a new model named LightGCN, including only the most essential component in GCN -- neighborhood aggregation -- for collaborative filtering.
• VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
  6 Oct 2015 7 repositories listed Syntology ran 3 of 28 samples · 25 unverified · 3 pointer-only (licence)
  In this paper we propose a scalable factorization model to incorporate visual signals into predictors of people's opinions, which we apply to a selection of large, real-world datasets.
• Multi-Modal Self-Supervised Learning for Recommendation
  21 Feb 2023 2 repositories listed
  The online emergence of multi-modal sharing platforms (eg, TikTok, Youtube) is powering personalized recommender systems to incorporate various modalities (eg, visual, textual and acoustic) into the latent user…
• A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
  13 Nov 2022 2 repositories listed
  Based on this finding, we propose a simple yet effective model, dubbed as FREEDOM, that FREEzes the item-item graph and DenOises the user-item interaction graph simultaneously for Multimodal recommendation.
• Bootstrap Latent Representations for Multi-modal Recommendation
  13 Jul 2022 2 repositories listed
  Besides the user-item interaction graph, existing state-of-the-art methods usually use auxiliary graphs (e.
• MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
  5 Apr 2022 2 repositories listed
  Based on a Markov process that trades off two types of distances, we present Markov Graph Diffusion Collaborative Filtering (MGDCF) to generalize some state-of-the-art GNN-based CF models.
• RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
  25 Jun 2025 1 repository listed
  This paper addresses the challenge of developing multimodal recommender systems for the movie domain, where limited metadata (e.
• Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
  19 Apr 2025 1 repository listed
  However, MMRecs struggle with noisy data caused by misalignment among modal content and the gap between modal semantics and recommendation semantics.
• Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
  18 Dec 2024 1 repository listed
  Our results indicate that the optimal K for certain modalities on specific datasets can be as low as 1 or 2, which may restrict the GNNs' capacity to capture global information.
• Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
  19 Aug 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Recent advances in Large Language Models (LLMs) have demonstrated significant potential in the field of Recommendation Systems (RSs).
• Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation
  7 Jul 2024 1 repository listed
  Multi-modal recommendation greatly enhances the performance of recommender systems by modeling the auxiliary information from multi-modality contents.
• UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style
  16 Feb 2024 1 repository listed
  In the feature extract phase, for image features, we are the first to combine image painting style features with semantic features to construct a dual-output image encoder for enhancing representation.
• Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation
  8 Aug 2023 1 repository listed
  To be specific, we first introduce an ID-aware Multi-modal Transformer module in the item representation learning stage to facilitate information interaction among different features.
• Self-Supervised Learning for Multimedia Recommendation
  30 Jun 2022 1 repository listed
  To capture multi-modal patterns in the data itself, we go beyond the supervised learning paradigm, and incorporate the idea of self-supervised learning (SSL) into multimedia recommendation.
• DualGNN: Dual Graph Neural Network for Multimedia Recommendation
  24 Dec 2021 1 repository listed
  Specifically, we first introduce a single-modal representation learning module, which performs graph operations on the user-microvideo graph in each modality to capture single-modal user preferences on different…
• GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
  3 Nov 2021 1 repository listed
  Reorganizing implicit feedback of users as a user-item interaction graph facilitates the applications of graph convolutional networks (GCNs) in recommendation tasks.
• Mining Latent Structures for Multimedia Recommendation
  19 Apr 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  To be specific, in the proposed LATTICE model, we devise a novel modality-aware structure learning layer, which learns item-item structures for each modality and aggregates multiple modalities to obtain latent item…
• MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video
  19 Oct 2019 1 repository listed
  Existing works on multimedia recommendation largely exploit multi-modal contents to enrich item representations, while less effort is made to leverage information interchange between users and items to enhance user…

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.