Multi-modal Knowledge Graph

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

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

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (26 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.

• Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
  8 Feb 2024 6 repositories listed Syntology ran 9 of 18 samples · 9 unverified
  In this survey, we carefully review over 300 articles, focusing on KG-aware research in two principal aspects: KG-driven Multi-Modal (KG4MM) learning, where KGs support multi-modal tasks, and Multi-Modal Knowledge Graph…
• VHAKG: A Multi-modal Knowledge Graph Based on Synchronized Multi-view Videos of Daily Activities
  27 Aug 2024 2 repositories listed
  Multi-modal knowledge graphs (MMKGs), which ground various non-symbolic data (e.
• Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
  15 Apr 2024 2 repositories listed
  To further augment the multi-modal representations, MyGO incorporates fine-grained contrastive learning to highlight the specificity of the entity representations.
• DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation
  15 May 2025 1 repository listed
  Domain-specific QA systems require not just generative fluency but high factual accuracy grounded in structured expert knowledge.
• Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
  27 May 2024 1 repository listed Syntology ran 6 of 8 samples · 2 unverified · 8 pointer-only (licence)
  Learning high-quality multi-modal entity representations is an important goal of multi-modal knowledge graph (MMKG) representation learning, which can enhance reasoning tasks within the MMKGs, such as MMKG completion…
• VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
  12 Mar 2024 1 repository listed Syntology ran 20 of 25 samples · 5 unverified
  Compared to this, editing Large Vision-Language Models (LVLMs) faces extra challenges from diverse data modalities and complicated model components, and data for LVLMs editing are limited.
• Noise-powered Multi-modal Knowledge Graph Representation Framework
  11 Mar 2024 1 repository listed
  In this work, we explore the efficacy of models in accurately embedding entities within MMKGs through two pivotal tasks: Multi-modal Knowledge Graph Completion (MKGC) and Multi-modal Entity Alignment (MMEA).
• Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
  22 Feb 2024 1 repository listed
  To address the mentioned problems, we propose Adaptive Multi-modal Fusion and Modality Adversarial Training (AdaMF-MAT) to unleash the power of imbalanced modality information for MMKGC.
• Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment
  31 Jan 2024 1 repository listed
  This study introduces a novel approach, DESAlign, which addresses these issues by applying a theoretical framework based on Dirichlet energy to ensure semantic consistency.
• Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
  10 Oct 2023 1 repository listed
  To address these challenges, we propose a novel MMEA transformer, called MoAlign, that hierarchically introduces neighbor features, multi-modal attributes, and entity types to enhance the alignment task.
• MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Knowledge Graph Completion
  13 Aug 2023 1 repository listed
  Nevertheless, existing methods emphasize the design of elegant KGC models to facilitate modality interaction, neglecting the real-life problem of missing modalities in KGs.
• AspectMMKG: A Multi-modal Knowledge Graph with Aspect-aware Entities
  9 Aug 2023 1 repository listed
  Multi-modal knowledge graphs (MMKGs) combine different modal data (e.
• Modality-Aware Negative Sampling for Multi-modal Knowledge Graph Embedding
  23 Apr 2023 1 repository listed
  Negative sampling (NS) is widely used in knowledge graph embedding (KGE), which aims to generate negative triples to make a positive-negative contrast during training.
• Multi-modal Siamese Network for Entity Alignment
  14 Aug 2022 1 repository listed
  To deal with that problem, in this paper, we propose a novel Multi-modal Siamese Network for Entity Alignment (MSNEA) to align entities in different MMKGs, in which multi-modal knowledge could be comprehensively…
• LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
  20 Apr 2022 1 repository listed
  The medical conversational system can relieve the burden of doctors and improve the efficiency of healthcare, especially during the pandemic.

Syntology lines on 3 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.