From the 1 of 6 linked papers with an AI index.
6 papers
Hyper-modal Imputation Diffusion Embedding with Dual-Distillation for Federated Multimodal Knowledge Graph Completion
Ying Zhang, Yu Zhao, Xuhui Sui +5
The paper introduces a federated learning framework for multimodal knowledge graph completion that recovers missing multimodal information with a hyper-modal imputation diffusion e…
From "What" to "How": Constrained Reasoning for Autoregressive Image Generation
Ruxue Yan, Xubo Liu, Wenya Guo +3
Autoregressive image generation has seen recent improvements with the introduction of chain-of-thought and reinforcement learning. However, current methods merely specify "What" de…
Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
Xinying Qian, Ying Zhang, Yu Zhao +3
Temporal Knowledge Graph Question Answering (TKGQA) aims to answer time-sensitive questions by leveraging factual information from Temporal Knowledge Graphs (TKGs). While previous…
RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning
Yang Wang, Yaxin Zhao, Xinyu Jiao +4
Insider threat detection aims to identify malicious user behavior by analyzing logs that record user interactions. Due to the lack of fine-grained behavior-level annotations, detec…
Dark Side of Modalities: Reinforced Multimodal Distillation for Multimodal Knowledge Graph Reasoning
Yu Zhao, Ying Zhang, Xuhui Sui +4
The multimodal knowledge graph reasoning (MKGR) task aims to predict the missing facts in the incomplete MKGs by leveraging auxiliary images and descriptions of entities. Existing…
Multimodal Graph-Based Variational Mixture of Experts Network for Zero-Shot Multimodal Information Extraction
Baohang Zhou, Ying Zhang, Yu Zhao +2
Multimodal information extraction on social media is a series of fundamental tasks to construct the multimodal knowledge graph. The tasks aim to extract the structural information…