Graph construction is the most critical part in these models, while how to construct an effective graph is still an open problem. In this chapter, we propose a novel approach to graph construction based on two observations. First, by virtue of recent advances in low-rank subspace recovery, ...
The problem of finding, for fixed t, b, and k, the largest size N(t,... J Korner,K Marton - 《European Journal of Combinatorics》 被引量: 168发表: 1988年 2Source Dispersers for n o(1) Entropy, and Ramsey Graphs Beating the Frankl-Wilson Construction Summary: The main result of ...
RNAGlib: A package to facilitate construction, analysis, visualization and machine learning on RNA 2.5D Graphs. Includes a pre-built dataset:https://rnaglib.cs.mcgill.ca OpenHGNN: Model zoo and benchmarks for Heterogeneous Graph Neural Networks.https://github.com/BUPT-GAMMA/OpenHGNN ...
We investigate the relative complexity of the graph isomorphism problem (GI) and problems related to the reconstruction of a graph from its vertex-deleted or edge-deleted subgraphs (in particular, deck checking (DC) and legitimate deck (LD) problems). We show that these problems are closely rel...
To address the problem of "curse of dimensionality", usually dimensionality reduction is used to reduce data's dimensionalities. As a graph-based method fo... XF Cai,G Wen,W Jia,... - IEEE 被引量: 6发表: 2011年 A New Construction Method of Neighbor Graph for Locality Preserving Projecti...
this problem can be divided into two categories: finding the longest common subsequences (LCS) of two sequences is called an LCS problem, and finding the longest common subsequence among three or more sequences is called an MLCS problem, where the length and number of the longest common subseq...
We show that the problem is a weighted $\ell$-1 minimization that leads to naturally sparse solutions. We point out how known graph learning or construction techniques fall within our framework and propose a new model that performs better than the state of the art in many settings. We ...
6.1 优化问题表示 Representation of an Optimization Problem 6.2 线性化问题的构造与表示 Construction and Representation of the Linearized Problem 6.2.1 初始化 Initialization 6.2.2 计算残差 Compute error 6.2.3 线性化系统 Linearizing the system 6.2.4 构建系统 Building the system 6.2.5 更新列文伯格-马夸...
5.3.1.1.2Universal dependency graph construction NegBio utilized the universaldependency graph(UDG) to extract negative and uncertain findings. UDG is adirected graphof one sentence designed to provide a simple description of the grammatical relationships in this sentence that can be easily understood ...
This paper proposes a new polynomial time constant factor approximation algorithm for a more-a-decade-long open NP-hard problem, the minimum four-connected m-dominating set problem in unit disk graph (UDG) with any positive integer m ≥ 1 for the first time in the literature. We observe tha...