Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion论文链接:arxiv.org/abs/2205.0235代码链接:github.com/zjunlp/MKGfo 网络结构 如下图所示,本文提出的MKGformer模型具有统一的多模态KGC框架。主要包括混合 Transformer 架构和特定任务范式。具体来说,MKGformer分别采用 ViT和BERT作为...
“In the inference stage, we regard the answer prediction as a multimodal knowledge graph completion problem. Given an image and a question, we feed them into the network and obtain the embeddings of the head entity hinf and the relation rinf . We compute the distance between hinf +rinf and...
The critical task of knowledge graph completion (KGC) cannot be overlooked when it comes to the evolution and application of new-generation knowledge graphs. With the advancement of multimodal learning and the rise of large models, knowledge graphs have experienced unprecedented development. Researchers...
The critical task of knowledge graph completion (KGC) cannot be overlooked when it comes to the evolution and application of new-generation knowledge graphs. With the advancement of multimodal learning and the rise of large models, knowledge graphs have experienced unprecedented development. Researchers...
Shane Culpepper and Gabriella Kazai}, title = {Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion}, booktitle = {{SIGIR} '22: The 45th International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, ...
Hybrid transformer with multi-level fusion for multimodal knowledge graph completion. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, 11–15 July 2022; pp. 904–915. [Google Scholar] Ren, S.; He, K.; Girshick,...
Code repository for SIGIR 2024 paper "Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph Completion". The paper is available at arXiv or ACM Digital Library. In this paper, we study the inductive multimodal knowledge graph completion (IMKGC) task. We pr...
2019_NAACL_A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Persona 代码地址:https://github.com/daiquocnguyen/CapsE 摘要 本文提出一种嵌入模型,名为CapsE,用胶囊网络建模三元组关系。 用一个三列的矩阵表示每个三元组,每列表示三元组(subject, relation, object)中的一个元素...
Wan H, Luo Y, Peng B, Zheng W-S (2018) Representation learning for scene graph completion via jointly structural and visual embedding. In: IJCAI, pp 949–956 Hung Z-S, Mallya A, Lazebnik S (2020) Contextual translation embedding for visual relationship detection and scene graph generation...
We select some baseline methods to establish the initial benchmark results on MARS, including multimodal knowledge representation methods (IKRL, TransAE, RSME), pre-trained vision-language models (VisualBERT, ViLBERT, ViLT, FLAVA) and a multimodal knowledge graph completion method (MKGformer). ...