baro词根表示“重、压”,这里特指的是气压。显示气压的仪器就是:气压计 chronograph ['krngrɑf] n. 记时计;记秒表 chrono表示“时间 time”,时间常用最小单位的记录器材就是:秒表,也做计时器讲。 stereograph ['sterɡrɑf] n. 立体照片;立体画 stereo词根“立体的”,我们分享“son”的时候有说过单词“...
\log \sigma\left(<\vec{u}_{j}^{\prime}, \vec{u}_{i}>\right)+\sum_{i=1}^{K} E_{\Psi_{n} \sim P_{n}(v)}\left[\log \sigma\left(-<\vec{u}_{j}^{\prime}, \vec{u}_{i}>\right]\right.(1.4) 最后注意一点,LINE基于邻域相似的假设,这其实是一种基于BFS方法。
graph最多有4种想要预测的信息:node、edge、global-context和connectivity。前3个相对容易,比如可以用一个Node_i表示存储了第i个node的特征矩阵N。然而connectivity的表示要复杂的多,最直接的方式是构建邻接矩阵,但是空间效率很低,可能会产生非常稀疏的邻接矩阵。 还有一个问题是,许多邻接矩阵可以编码相同的连通性,但是...
n. 1.a diagram representing a system of connections or interrelations among two or more things, as by a number of distinctive dots or lines. 2.Math. a.a series of discrete or continuous points, as in forming a curve or surface, each of which represents a value of a given function. ...
bar graph n. 长条图 gamma graph 【机】 加马射线图 最新单词 filamentsaturation怎么翻译及发音 n. 见temperature saturation filamentous怎么翻译及发音 a. 细丝状的,如丝的,纤维所成的 filamentation是什么意思及反义词 丝状形成 filamentary的中文解释 a. 细丝的,单纤维的,似丝的 filament什么意思及同义...
n. 图表 大小写变形:Graph 词态变化 复数:graphs; 实用场景例句 全部 图表 曲线图 Thegraphshows how house prices have risen since the 1980s. 此图表明了自20世纪80年代以来房价上涨的情况。 牛津词典 Plot agraphof height against age. 绘制一张身高与年龄对照的曲线图。
Usage: bfs.exe (-h | --help) bfs.exe -f FILE [-r NODE | -s FILE] [-i NUM] [-a NUM] [-b NUM] [-B NUM] [-n NUM] [--seed NUM] [--version ID...] [--log FILE] [--log-header] [-dvV] [THREADS]... Options: -h, --help show this screen -f FILE input file ...
telegraph:['tɛlɪɡræf]n.电报机,电报v.发电报 结构分析:telegraph=tele(远程)+graph(写)→远程写信息→发电部,电报 gram:[ɡræm] n. 克,=gramme kilogram:['kɪləɡræm]n.公斤;千克 结构分析:kilogram=kilo(千)+gram(克)→千克→公斤 ...
t.i=1,2,⋯,n denotes the learnable adaptive weight in the l-th layer. 𝑍𝑐𝑜𝑎𝑟𝑠𝑒Zcoarse indicates node embedding under the coarse-grained channel. Fine-Grained Channel. In the fine-grained channel, we adaptively select the receptive field by taking each dimension of the ...
N-Gram Graph: A Simple Unsupervised Representation for Molecules Shengchao Liu, Thevaa Chandereng, Yingyu Liang NeurIPS 2019 DeepGCNs: Can GCNs Go as Deep as CNNs? Guohao Li, Matthias Muller, Ali Thabet, Bernard Ghanem ICCV 2019 Continuous Graph Neural Networks Louis-Pascal A. C. Xhonneux...