Summary of Kaae: Numerical Reasoning For Knowledge Graphs Via Knowledge-aware Attributes Learning, by Ming Yin et al.
KAAE: Numerical Reasoning for Knowledge Graphs via Knowledge-aware Attributes Learningby Ming Yin, Qiang Zhou, Zongsheng…
KAAE: Numerical Reasoning for Knowledge Graphs via Knowledge-aware Attributes Learningby Ming Yin, Qiang Zhou, Zongsheng…
MOT FCG++: Enhanced Representation of Spatio-temporal Motion and Appearance Featuresby Yanzhao FangFirst submitted to arxiv…
DROJ: A Prompt-Driven Attack against Large Language Modelsby Leyang Hu, Boran WangFirst submitted to arxiv…
Crystal Structure Generation Based On Material Propertiesby Chao Huang, JiaHui Chen, HongRui Liang, ChunYan Chen,…
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completionby Muzhi Li, Cehao Yang, Chengjin…
TractoEmbed: Modular Multi-level Embedding framework for white matter tract segmentationby Anoushkrit Goel, Bipanjit Singh, Ankita…
The Backpropagation of the Wave Networkby Xin Zhang, Victor S. ShengFirst submitted to arxiv on:…
Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learningby Hao Tang, Junhao Lu, Guoheng Huang,…
Class Granularity: How richly does your knowledge graph represent the real world?by Sumin Seo, Heeseon…
Personalized News Recommendation System via LLM Embedding and Co-Occurrence Patternsby Zheng Li, Kai ZhangeFirst submitted…