原创 UIL 算法論文 之 ABNE (IEEE 2019)

ABNE: An Attention-Based Network Embedding for User Alignment Across Social Networks 摘要:在本文中,我們提出了一個基於注意力的網絡嵌入模型,利用社會結構

原创 WORD TRANSLATION WITHOUT PARALLEL DATA ICLR2018

WORD TRANSLATION WITHOUT PARALLEL DATA ICLR2018 Alexis Conneau∗ † ‡ , Guillaume Lample∗ † § , Marc’Aurelio Ranzato† , L

原创 UNSUPERVISED MACHINE TRANSLATION USING MONOLINGUAL CORPORA ONLY 閱讀筆記 無監督機器翻譯

UNSUPERVISED MACHINE TRANSLATION USING MONOLINGUAL CORPORA ONLY 時間會議:2018 ICLR 作者:Guillaume Lample † ‡ , Alexis Conneau

原创 GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS

Introduction 提出了一種新的基於注意力的圖序列學習神經網絡模型Graph2Seq。Graph2Seq模型遵循傳統的編解碼器方法,包含兩個主要組件,一個圖形編碼器和一個序列解碼器。本文提出的圖形編碼器旨在學習表達性節點嵌入,並將

原创 UIL 算法 之半監督模型的IONE

算法1 IONE 這篇論文是半監督的embedding方法。 Aligning users across social networks using network embedding         . In IJCAI, 2016.

原创 Predict anchor links across social networks via an embedding approach閱讀筆記. In IJCAI, 2016.

Predict anchor links across social networks via an embedding approach. In IJCAI, 2016.   數據 使用微軟學術圈會議的數據,按領域劃分爲數據挖掘和人工智

原创 Unsupervised User Identity Linkage via Factoid Embedding 閱讀筆記

無監督的用戶對齊學習 Unsupervised User Identity Linkage via Factoid Embedding 鏈接地址 https://arxiv.org/pdf/1901.06648.pdf 摘要 其關鍵思想是

原创 DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data 閱讀筆記

DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data WWW2019paper 位置軌跡數據對齊,屬於基於內容的對齊任

原创 CoLink: An Unsupervised Framework for User Identity Linkage

CoLink: An Unsupervised Framework for User Identity Linkage AAAI2018 摘要 在本文中,我們提出了一個通用的無監督框架CoLink來解決UIL問題。社交網絡的個人資料數據可

原创 UIL 算法學習 Structure Based User Identification across Social Networks

Structure Based User Identification across Social Networks 這是篇無監督的論文。 TKDE 2018 因此,在本研究中,我們研究了無監督策略,以純粹通過朋友關係識別跨越SN的匿名相

原创 Graph Neural Networks for User Identity Linkage 2019 論文閱讀筆記

Graph Neural Networks for User Identity Linkage Wen Zhang, Kai Shu, Huan Liu, and Yalin Wang Computer Science and Engi

原创 ICLR2018 無監督翻譯學習 UNSUPERVISED NEURAL MACHINE TRANSLATION

UNSUPERVISED NEURAL MACHINE TRANSLATION INTRODUCTION   句子L1和L2使用共同的encoder模型,擁有各自的decoder模型,學習過程是源語言emcode到隱空間中,decoder

原创 COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency 論文閱讀筆記

COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency Yutao Zhang , Jie Tang, Zhilin Yang,

原创 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System

 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System  ICML 2019 摘要: 本文是推薦系統和強化學習結

原创 Mapping Users across Networks by Manifold Alignment on Hypergraph AAAI 2014

Mapping Users across Networks by Manifold Alignment on Hypergraph 使用超圖的概念學習用戶embedding 1 與傳統的半監督流形對齊方法不同,本文采用超圖方法對高階關係進