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近日，KDD 2020 發(fā)布論文接收結(jié)果：本次 KDD 總接受論文數(shù) 338 篇，其中 Research Track 共 1279 篇論文參與投稿，接收率約為 16.9%；Applied Data Science track 共 756 篇論文投稿，接收率約為 16.0%。

AMiner 近期也上線(xiàn)了 KDD 2020 最新專(zhuān)題（https://www.aminer.cn/conf/kdd2020），收錄了今年錄用的所有論文，并對(duì)過(guò)去歷年來(lái) KDD 的錄用論文數(shù)據(jù)進(jìn)行了分析，后期還將陸續(xù)推出論文數(shù)據(jù)分析與論文精讀等內(nèi)容，為大家詳解 KDD2020 最新動(dòng)態(tài)。
 
同時(shí)，通過(guò)對(duì) AMiner 平臺(tái)中 KDD 2020 收錄論文數(shù)據(jù)的挖掘，從詞云可以看出，KDD 2020 的關(guān)鍵詞主要集中在 Graph Neural Network、Representation Learning、Deep Learning Heterogeneou Graph、Attention Network、Knowledge Graph、Convolutional Network 等方向。

論文1：Fraud Transactions Detection via Behavior Tree with Local Intention Calibration基于局部意圖校正行為樹(shù)的欺詐交易檢測(cè)
作者：Can Liu，Qiwei Zhong，Xiang Ao，Li Sun，Wangli Lin，Jinghua Feng，Qing He，Jiayu Tang
 
論文2：Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery按需食品配送的訂單履行周期時(shí)間估算
作者：Lin Zhu，Wei Yu，Kairong Zhou，Xing Wang，Pengyu Wang，Wenxing Feng，Ning Chen，Pei Lee
 
論文3：Graph Structural-topic Neural Network圖結(jié)構(gòu)主題神經(jīng)網(wǎng)絡(luò)
作者：Qingqing Long，Yilun Jin，Guojie Song，Yi Li，Wei Lin
 
論文4：Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach學(xué)習(xí)通過(guò)多視圖多任務(wù)關(guān)注方法生成個(gè)性化的查詢(xún)自動(dòng)完成
作者：Di Yin，Jiwei Tan，Zhe Zhang，Hongbo Deng，Shujian Huang，Jiajun Chen
 
論文5：Fast R-STL: Efficient and Robust Seasonal-Trend Decompositionfor Time Series with Complex Patterns快速R-STL：復(fù)雜模式時(shí)間序列的高效穩(wěn)健季節(jié)趨勢(shì)分解
作者：Qingsong Wen，Zhe Zhang，Yan Li，Liang Sun
 
論文6：Large-Scale Training System for 100-Million Classification at Alibaba阿里巴巴1億分類(lèi)大規(guī)模培訓(xùn)體系
作者：Liuyihan Song，Pan Pan，Kang Zhao,，Hao Yang，Yiming Chen，Yingya Zhang，Yinghui Xu，Rong Jin
 
論文7：Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation基于文本增強(qiáng)域自適應(yīng)的半監(jiān)督協(xié)同過(guò)濾
作者：Wenhui Yu，Xiao Lin，Junfeng Ge，Wenwu Ou，Zheng Qin
 
論文8：Privileged Features Distillation at Taobao Recommendations淘寶推薦的特權(quán)特征提煉
作者：Chen Xu，Quan Li，Junfeng Ge，Jinyang Gao，Xiaoyong Yang，Changhua Pei，F(xiàn)ei Sun，Jian Wu，Hanxiao Sun，Wenwu Ou
 
論文9：GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training      GCC：用于圖神經(jīng)網(wǎng)絡(luò)預(yù)訓(xùn)練的圖對(duì)比編碼
作者：Jiezhong Qiu，Qibin Chen，Yuxiao Dong，Jing Zhang，Hongxia Yang，Ming Ding，Kuansan Wang，Jie Tang
 
論文10：Multi-objective Optimization for Guaranteed Delivery in Video Service Platform視頻服務(wù)平臺(tái)保證交付的多目標(biāo)優(yōu)化
作者：Hang Lei，Yin Zhao，Longjun Cai
 
論文11：Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning多視圖部分多標(biāo)簽學(xué)習(xí)的特征誘導(dǎo)流形消歧
作者：Jing-Han Wu，Xuan Wu，Qing-Guo Chen，Yao Hu，Min-Ling Zhang

論文1：TranSlider: Transfer Ensemble Learning from Exploitation to Exploration  TranSlider：從開(kāi)發(fā)至探索的遷移集成學(xué)習(xí)
作者：Kuo Zhong，Ying Wei，Chun Yuan，Haoli Bai，Junzhou Huang
 
論文2：Adversarial Infidelity Learning for Model Interpretation模型解釋中的對(duì)抗不忠學(xué)習(xí)
作者：Laing Jian，Bai Bing，Cao Yuren，Bai Kun，Wang Fei
 
論文3：General-Purpose User Embeddings based on Mobile App Usage基于移動(dòng)App使用的通用用戶(hù)嵌入
作者：Zhang Junqi，Bai Bing，Lin Ye，Liang Jian，Bai Kun，Wang Fei
 
論文4：INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare INPREM：一個(gè)可解釋且可信的醫(yī)療保健預(yù)測(cè)模型
作者：Xianli Zhang，Buyue Qian，Shilei Cao，Yang Li，Hang Chen，Yefeng Zheng，Ian Davidson
 
論文5：ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction  
ASGN：分子性質(zhì)預(yù)測(cè)的主動(dòng)半監(jiān)督圖神經(jīng)網(wǎng)絡(luò)
作者：Zhongkai Hao，Chengqiang Lu，Zhengya Huang，Hao Wang，Zheyuan Hu，Qi Liu，Enhong Chen，Cheekong Lee
 
論文6：Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning脆弱性與可靠性：跨模式學(xué)習(xí)的分離對(duì)抗性實(shí)例
作者：Chao Li，Haoteng Tang，Cheng Deng，Liang Zhan，Wei Liu
 
論文7：Meta-Learning for Query Conceptualization at Web Scale面向網(wǎng)絡(luò)規(guī)模查詢(xún)概念化的元學(xué)習(xí)
作者：Fred X. Ha，Di Niu，Haolan Chen，Weidong Guo，Shengli Yan，Bowei Long
 
論文8：A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation一種請(qǐng)求級(jí)保證交付的廣告規(guī)劃：預(yù)測(cè)與分配
作者：Hong Zhang，Lan Zhang，Lan Xu，Xiaoyang Ma，Zhengtao Wu，Cong Tang，Wei Xu，Yiguo Yang
 
論文9：A Block Decomposition Algorithm for Sparse Optimization稀疏優(yōu)化的塊分解算法
作者：Ganzhao Yuan，Li Shen，Weishi Zheng
 
論文10：Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning一枚硬幣的兩面性：遷移學(xué)習(xí)的白盒攻擊和黑盒攻擊
作者：Yinghua Zhang，Yangqiu Song，Jian Liang，Kun Bai，Qiang Yang
 
NO.4 滴滴
 
KDD2020 中，滴滴發(fā)表論文數(shù) 6，占比 1.8%

論文1：Neural Subgraph Isomorphism Counting神經(jīng)子圖同構(gòu)計(jì)數(shù)
作者：Liu Xin，Pan Haojie，He Mutian，Song Yangqiu，Jiang Xin
 
論文2：Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Top-K推薦中基于自適應(yīng)裕度的概率度量學(xué)習(xí)
作者：Chen Ma，Liheng Ma，Yingxue Zhang，Ruiming Tang ，Xue LiuXue Liu，Mark Coates
 
論文3：Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks基于深度卷積神經(jīng)網(wǎng)絡(luò)的蜂窩網(wǎng)絡(luò)無(wú)線(xiàn)傳播建模
作者：Xin Zhang，Xiujun Shu，Bingwen Zhang，Jie Ren，Lizhou Zhou，Xin Chen
 
論文4：Stable Learning via Differentiated Variable Decorrelation基于差分變量去相關(guān)的穩(wěn)定學(xué)習(xí)
作者：Zheyean Shen，Peng Cui，Jiashuo Liu，Tong Zhang，Bo Li，Zhitang Chen
 
論文5：A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks一種基于貝葉斯圖卷積神經(jīng)網(wǎng)絡(luò)的精確多樣推薦框架
作者：Jianing Sun，Wei Guo，Dengcheng Zhang，Yingxue Zhang，F(xiàn)lorence Robert-Regol，Yaochen Hu，Huifeng Guo，Ruiming Tang，Han Yuan，Xiuqiang He，Mark Coates
 
論文6：WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams  
WavingSketch：在數(shù)據(jù)流中查找Top-k項(xiàng)的無(wú)偏通用草圖
作者：Jizhou Li，Zikun Li，Yifei Xu，Shiqi Jiang，Tong Yang，Bin Cui，Yafei Dai，Gong Zhang
 
NO.6 京東
 
KDD2020 中，京東發(fā)表論文數(shù) 6，占比 1.8%