找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Spatial Data and Intelligence; 4th International Co Xiaofeng Meng,Xiang Li,Yafei Li Conference proceedings 2023 The Editor(s) (if applicabl

[復(fù)制鏈接]
樓主: 壓榨機(jī)
41#
發(fā)表于 2025-3-28 17:01:17 | 只看該作者
CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Largeient descent GCN is added to the model. We have conducted extensive experiments on node classification tasks of multiple datasets. The experiments show that the model has excellent performance, especially in the dataset with a higher average clustering coefficient, and can achieve higher prediction
42#
發(fā)表于 2025-3-28 19:09:55 | 只看該作者
43#
發(fā)表于 2025-3-29 00:59:51 | 只看該作者
44#
發(fā)表于 2025-3-29 06:56:19 | 只看該作者
Influential Community Search Over Large Heterogeneous Information Networksvertices with high influence, the Reversed-Peel algorithm finds top-.-HICs in a high influence vertices composed set and thus is more efficient. Extensive experiments have been performed on three real large HINs, and the results show that the proposed methods are effective for searching top-.-HICs.
45#
發(fā)表于 2025-3-29 10:11:24 | 只看該作者
Continuous Sub-prevalent Co-location Pattern Miningel pattern, is proposed by defining the continuous sub-prevalent index. Then, an efficient algorithm is designed to mine the proposed patterns by utilizing the anti-monotonicity of continuous sub-prevalent index to prune unpromising patterns. Extensive experiments on synthetic and real datasets veri
46#
發(fā)表于 2025-3-29 12:00:06 | 只看該作者
The Abnormal Detection Method of Ship Trajectory with Adaptive Transformer Model Based on Migration on correlation weight evaluation method is used to learn and fit the distribution characteristics of subsequences, to effectively describe the similarity and correlation effects between the distributions of each subsequence. At the same time, the attention mechanism is used to build the dynamic trai
47#
發(fā)表于 2025-3-29 19:30:17 | 只看該作者
48#
發(fā)表于 2025-3-29 22:17:29 | 只看該作者
Limin Guo,Dongze Li,Zhi Cai to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals’ information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these
49#
發(fā)表于 2025-3-30 01:37:56 | 只看該作者
to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals’ information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these
50#
發(fā)表于 2025-3-30 07:55:11 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 07:39
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
班戈县| 铁岭县| 河南省| 布拖县| 平安县| 师宗县| 汶上县| 巩义市| 宿州市| 兴国县| 宁津县| 亳州市| 抚顺县| 乌鲁木齐县| 泰州市| 关岭| 永昌县| 东乌珠穆沁旗| 文安县| 长治县| 石林| 大庆市| 宁都县| 梅河口市| 宁城县| 萨嘎县| 利津县| 凌海市| 松潘县| 河北省| 黄大仙区| 临沭县| 竹北市| 荆门市| 临洮县| 永德县| 民乐县| 南城县| 浙江省| 北流市| 广河县|