A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networksdoi:10.1371/journal.pcbi.1011597MACHINE learningDEEP learningDRUG discoveryMOLECULAR interactionsFUNCTIONAL groupsCHEMICAL structureThe powerful combination of large-scale drug-...
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An incremental parsing algorithm based on dynamic programming techniques is described. The analyzer takes the automaton generated from a general class of c... MV Ferro,BA Dion - IEEE 被引量: 80发表: 1994年 Context-free hypergraph grammars have the same term-generating power as attribute grammars...
A general map matching algorithm for transport telematics applications Map-matching in complex urban road networks Fast map matching, an algorithm integrating hidden markov model with precomputation Deep Learning Methods Deepmm: Deep learning based map matching with data augmentation Transformer-based map...
Addressing this issue, we propose a novel hypergraph matching algorithm based on tensor refining, accompanied with an alternative adjustment method to accelerate the convergence. We make a comparison between the proposed approach and several outstanding matching algorithms on three commonly used benchmarks...
Haveliwala TH (2003) Topic-sensitive PageRank: a context-sensitive ranking algorithm for Web search. IEEE Trans Knowl Data Eng 15(4):784–796 Article Google Scholar Hayat MK, Xue S, Yang J (2023) Self-supervised heterogeneous hypergraph learning with context-aware pooling for graph-level cla...
awesome-graph-structure-learning A collection of papers onGraph Structural Learning (GSL). Will be frequently updated. We have developed a comprehensive graph structure learning benchmark (GSLB), which consists of diverse graph datasets and state-of-the-art GSL algorithm. Feel free to explore our...
摘要: In this paper,the theory about 4NF decision in a mixed hypergraph is discussed, and then an algorithm to decide if the relational schema belongs to 4NF is given.关键词:Mixed hypergraph 4NF decision algorithm 年份: 1996 收藏 引用 批量引用 报错 分享 全部来源 求助全文 知网 ...
My Machine Learning-related stuff! My Apache Zeppelin and Jupyter notebooks, and more! For a series of valuable data analysis and machine learning-related stuff in general ML Resources(with an emphasis on Python) This document attempts to develop a curated list of Machine Learning resources, inclu...
Hypergraph Survey Hypergraph Learning: Methods and Practices (TPAMI, 2022) [paper] More Recent Advances in (Hyper)Graph Partitioning (ACM Computing Surveys, 2022) [paper] Survey of Hypergraph Neural Networks and Its Application to Action Recognition (CAAI International Conference on Artificial Intelligenc...