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ACM SIGKDD(Conference on Knowledge Discovery and Data Mining, KDD)是世界数据挖掘领域的最高级别的国际会议,由 ACM(Association of Computing Machinery,计算机学会)的数据挖掘及知识发现专委会(SIGKDD)负责协调筹办,被中国计算机协会荐为A类会议。
自 1995 年以来,KDD 已经以大会的形式连续举办了二十余届全球峰会,作为数据挖掘领域最顶级的学术会议,KDD 大会以论文接收严格闻名,每年的接收率不超过 20%,因此颇受行业关注。
近日,KDD 2020 发布论文接收结果:本次 KDD 总接受论文数 338 篇,其中 Research Track 共 1279 篇论文参与投稿,接收率约为 16.9%;Applied Data Science track 共 756 篇论文投稿,接收率约为 16.0%。
AMiner 近期也上线了 KDD 2020 最新专题(https://www.aminer.cn/conf/kdd2020),收录了今年录用的所有论文,并对过去历年来 KDD 的录用论文数据进行了分析,后期还将陆续推出论文数据分析与论文精读等内容,为大家详解 KDD2020 最新动态。
同时,通过对 AMiner 平台中 KDD 2020 收录论文数据的挖掘,从词云可以看出,KDD 2020 的关键词主要集中在 Graph Neural Network、Representation Learning、Deep Learning Heterogeneou Graph、Attention Network、Knowledge Graph、Convolutional Network 等方向。
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那么在 KDD2020 中,有哪些公司大放异彩?
学术头条为你细细道来——
(以下排名不分先后)
NO.1 阿里巴巴
KDD2020 中,阿里巴巴发表论文数 25,占比 7.3%。
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论文1:Fraud Transactions Detection via Behavior Tree with Local Intention Calibration基于局部意图校正行为树的欺诈交易检测
作者:Can Liu,Qiwei Zhong,Xiang Ao,Li Sun,Wangli Lin,Jinghua Feng,Qing He,Jiayu Tang
论文2:Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery按需食品配送的订单履行周期时间估算
作者:Lin Zhu,Wei Yu,Kairong Zhou,Xing Wang,Pengyu Wang,Wenxing Feng,Ning Chen,Pei Lee
论文3:Graph Structural-topic Neural Network图结构主题神经网络
作者:Qingqing Long,Yilun Jin,Guojie Song,Yi Li,Wei Lin
论文4:Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach学习通过多视图多任务关注方法生成个性化的查询自动完成
作者:Di Yin,Jiwei Tan,Zhe Zhang,Hongbo Deng,Shujian Huang,Jiajun Chen
论文5:Fast R-STL: Efficient and Robust Seasonal-Trend Decompositionfor Time Series with Complex Patterns快速R-STL:复杂模式时间序列的高效稳健季节趋势分解
作者:Qingsong Wen,Zhe Zhang,Yan Li,Liang Sun
论文6:Large-Scale Training System for 100-Million Classification at Alibaba阿里巴巴1亿分类大规模培训体系
作者:Liuyihan Song,Pan Pan,Kang Zhao,,Hao Yang,Yiming Chen,Yingya Zhang,Yinghui Xu,Rong Jin
论文7:Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation基于文本增强域自适应的半监督协同过滤
作者:Wenhui Yu,Xiao Lin,Junfeng Ge,Wenwu Ou,Zheng Qin
论文8:Privileged Features Distillation at Taobao Recommendations淘宝推荐的特权特征提炼
作者:Chen Xu,Quan Li,Junfeng Ge,Jinyang Gao,Xiaoyong Yang,Changhua Pei,Fei Sun,Jian Wu,Hanxiao Sun,Wenwu Ou
论文9:GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training GCC:用于图神经网络预训练的图对比编码
作者:Jiezhong Qiu,Qibin Chen,Yuxiao Dong,Jing Zhang,Hongxia Yang,Ming Ding,Kuansan Wang,Jie Tang
论文10:Multi-objective Optimization for Guaranteed Delivery in Video Service Platform视频服务平台保证交付的多目标优化
作者:Hang Lei,Yin Zhao,Longjun Cai
论文11:Feature-Induced Manifold Disambiguation for Multi-View Partial Multi-label Learning多视图部分多标签学习的特征诱导流形消歧
作者:Jing-Han Wu,Xuan Wu,Qing-Guo Chen,Yao Hu,Min-Ling Zhang
论文12:Disentangled Self-Supervision in Sequential Recommenders连续推荐的分离主义自监督
作者:Jianxin Ma,Chang Zhou,Hongxia Yang,Cui Peng,Xin Wang,Wenwu Zhu
论文13:Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach有效解决实际车辆路径问题:一种新的联合学习方法
作者:Lu Duan,Yang Zhan,Jiangwen Wei,Yu Gong,Haoyuan Hu ,Yinghui Xu
论文14:Learning Stable Graphs from Heterogeneous Confounded Environments异构混杂环境中的学习稳定图
作者:Yue He,Peng Cui,Jianxin Ma,Zou Hao,Xiaowei Wang,Hongxia Yang,Philip S. Yu
论文15:Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems上下文会话匹配:在信息寻求对话系统中利用整个会话进行响应选择
作者:Zhenxin Fu,Shaobo Cui,Mingyue Shang,Feng Ji,Dongyan Zhao,Haiqing Chen,Rui Yan
论文16:Controllable Multi-Interest Framework for Recommendation可控多兴趣推荐框架
作者:Cen Yukuo,Zhang Jianwei,Zou Xu,Zhou Chang,Yang Hongxia,Tang Jie
论文17:Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective连续推荐中最大化累积用户参与度:在线优化视角
作者:Zhao Yifei,Zhou Yu-Hang,Ou Mingdong,Xu Huan,Li Nan
论文18:Prediction and Profiling of Audience Competition for Online Television Series网络电视剧观众竞争预测与分析
作者:Peng Zhang,Chuanren Liu,Kefeng Ning,Wenxiang Zhu,Yu Zhang
论文19:M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
M2GRL:一个面向网络推荐系统的多任务多视角图表示学习框架
作者:Wang Menghan,Lin Yujie,Lin Guli,Yang Keping,Wu Xiao-ming
论文20:Understanding Negative Sampling in Graph Representation Learning图表示学习中的理解负采样
作者:Yang Zhen,Ding Ming,Zhou Chang,Yang Hongxia,Zhou Jingren,Tang Jie
论文21:Comprehensive Information Integration Modeling Framework for Video Titling视频标题综合信息集成建模框架
作者:Shengyu Zhang,Ziqi Tan,Jin Yu,Zhou Zhao,Kun Kuang,Tan Jiang,Hongxia Yang,Fei Wu,Jingren Zhou
论文22:A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce提高电子商务商店搜索长尾性能的对偶异构图注意网络
作者:Xichuan Niu,Bofang Li,Chenliang Li,Rong Xiao,Haochuan Sun,Hongbo Deng,Zhenzhong Chen
论文23:Balanced Order Batching with Task-Oriented Graph Clustering面向任务图聚类的平衡顺序批处理
作者:Lu Duan,Zili Wu,Guozheng Li,Yu Gong ,Xinhang Zhang,Haoyuan Hu,Yinghui Xu
论文24:Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data混合时空图卷积网络:利用导航数据改进流量预测
作者:Rui Dai,Shenkun Xu,Qian Gu,Chenguang Ji,Kaikui Liu
论文25:Attention and Memory-Augmented Networks for Dual-View Sequential Learning双视序列学习的注意记忆增强网络
作者:Yong He,Cheng Wang,Nan Li,Zhenyu Zeng
NO.2 百度
KDD2020 中,百度发表论文数 9,占比 2.6%
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论文1:Competitive Analysis for Points of Interest兴趣点的竞争分析
作者:Shuangli Li,Jingbo Zhou,Hao Liu,Xinjiang Lu,Tong Xu,Hui Xiong
论文2:Geodemographic Influence Maximization地理人口统计影响力最大化
作者:Kaichen Zhang,Jingbo Zhou,Donglai Tao,Panagiotis Karras,Qing Li,Hui Xiong
论文3:Combo-Attention Network for Baidu Video Advertising百度视频广告组合注意力网络
作者:Tan Yu,Yi Yang,Yi Li,Xiaodong Chen,Mingming Sun,Ping Li
论文4:Dual Channel Hypergraph Collaborative Filtering双通道超图协同过滤
作者:Shuyi Ji,Yifan Feng,Rongrong Ji,Xibin Zhao,Wanwan Tang,Yue Gao
论文5:Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning基于集体学习的移动App用户界面模块智能化探索
作者:Jingbo Zhou,Zhenwei Tang,Min Zhao,Xiang Ge,Fuzheng Zhuang,Meng Zhou,Liming Zou,Chenglei Yang,Hui Xiong
论文6:Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine
Polestar:一个智能、高效、全国性的公共交通路径引擎
作者:Hao Liu,Ying Li,Yanjie Fu,Huaibo Mei,Jingbo Zhou,Xu Ma,Hui Xiong
论文7:Personalized Prefix Embedding for POI Auto-Completion in the Search Engine of Baidu Maps百度地图搜索引擎中POI自动完成的个性化前缀嵌入
作者:Jizhou Huang,Haifeng Wang,Miao Fan,An Zhuo,Ying Li
论文8:ConSTGAT: Contextual Spatial-Temporal Graph Attention Network for Travel Time Estimation at Baidu Maps
ConSTGAT:百度地图针对出行时间估计的上下文时空图注意力网络
作者:Xiaomin Fang,Jizhou Huang,Fan Wang,Lingke Zeng,Haijin Liang,Haifeng Wang
论文9:Local Community Detection in Multiple Networks多网络中的局部社区检测
作者:Dongsheng Luo,Yuchen Bian,Yaowei Yan,Xiao Liu,Jun Huan,Xiang Zhang
NO.3 腾讯
KDD2020 中,腾讯发表论文数 10,占比 2.9%
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论文1:TranSlider: Transfer Ensemble Learning from Exploitation to Exploration TranSlider:从开发至探索的迁移集成学习
作者:Kuo Zhong,Ying Wei,Chun Yuan,Haoli Bai,Junzhou Huang
论文2:Adversarial Infidelity Learning for Model Interpretation模型解释中的对抗不忠学习
作者:Laing Jian,Bai Bing,Cao Yuren,Bai Kun,Wang Fei
论文3:General-Purpose User Embeddings based on Mobile App Usage基于移动App使用的通用用户嵌入
作者:Zhang Junqi,Bai Bing,Lin Ye,Liang Jian,Bai Kun,Wang Fei
论文4:INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare INPREM:一个可解释且可信的医疗保健预测模型
作者:Xianli Zhang,Buyue Qian,Shilei Cao,Yang Li,Hang Chen,Yefeng Zheng,Ian Davidson
论文5:ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
ASGN:分子性质预测的主动半监督图神经网络
作者:Zhongkai Hao,Chengqiang Lu,Zhengya Huang,Hao Wang,Zheyuan Hu,Qi Liu,Enhong Chen,Cheekong Lee
论文6:Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning脆弱性与可靠性:跨模式学习的分离对抗性实例
作者:Chao Li,Haoteng Tang,Cheng Deng,Liang Zhan,Wei Liu
论文7:Meta-Learning for Query Conceptualization at Web Scale面向网络规模查询概念化的元学习
作者:Fred X. Ha,Di Niu,Haolan Chen,Weidong Guo,Shengli Yan,Bowei Long
论文8:A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation一种请求级保证交付的广告规划:预测与分配
作者:Hong Zhang,Lan Zhang,Lan Xu,Xiaoyang Ma,Zhengtao Wu,Cong Tang,Wei Xu,Yiguo Yang
论文9:A Block Decomposition Algorithm for Sparse Optimization稀疏优化的块分解算法
作者:Ganzhao Yuan,Li Shen,Weishi Zheng
论文10:Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning一枚硬币的两面性:迁移学习的白盒攻击和黑盒攻击
作者:Yinghua Zhang,Yangqiu Song,Jian Liang,Kun Bai,Qiang Yang
NO.4 滴滴
KDD2020 中,滴滴发表论文数 6,占比 1.8%
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论文1:Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction用于实时事件预测的动态异构图神经网络
作者:Wenjuan Luo,Han Zhang,Xiaodi Yang,Lin Bo,Xiaoqing Yang,Zang Li,Xiaohu Qie,Jieping Ye
论文2:Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time打造面向客户服务的智能聊天机器人:学会适时响应
作者:Che Liu,Junfeng Jiang,Chao Xiong,Yi Yang,Jieping Ye
论文3:HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival
HetETA:用于估算到达时间的异构信息网络嵌入
作者:Huiting Hong,Yucheng Lin,Xiaoqing Yang,Zang Li ,Jieping Ye ,Kun Fu,Zheng Wang,Xiaohu Qie
论文4:CompactETA: A Fast Inference System for Travel Time Prediction
CompactETA:旅行时间预测的快速推理系统
作者:Kun Fu,Fanlin Meng,Jieping Ye,Zheng Wang
论文5:Gemini: A novel and universal heterogeneous graph information fusing framework for online recommendations
Gemini:一个新颖的通用异构图信息融合框架
作者:Jixing Xu,Zhenlong Zhu,Jianxin Zhao,Xuanye Liu,Minghui Shan,Jiecheng Guo
论文6:Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy共享单车经济条件下大型团体比赛的个人治疗效果预测
作者:Teng Ye,Wei Ai,Lingyu Zhan,Ning Luo,Lulu Zhang,Jieping Ye,Qiaozhu Mei
NO.5 华为
KDD2020 中,华为发表论文数 6,占比 1.8%
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论文1:Neural Subgraph Isomorphism Counting神经子图同构计数
作者:Liu Xin,Pan Haojie,He Mutian,Song Yangqiu,Jiang Xin
论文2:Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Top-K推荐中基于自适应裕度的概率度量学习
作者:Chen Ma,Liheng Ma,Yingxue Zhang,Ruiming Tang ,Xue LiuXue Liu,Mark Coates
论文3:Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks基于深度卷积神经网络的蜂窝网络无线传播建模
作者:Xin Zhang,Xiujun Shu,Bingwen Zhang,Jie Ren,Lizhou Zhou,Xin Chen
论文4:Stable Learning via Differentiated Variable Decorrelation基于差分变量去相关的稳定学习
作者:Zheyean Shen,Peng Cui,Jiashuo Liu,Tong Zhang,Bo Li,Zhitang Chen
论文5:A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks一种基于贝叶斯图卷积神经网络的精确多样推荐框架
作者:Jianing Sun,Wei Guo,Dengcheng Zhang,Yingxue Zhang,Florence Robert-Regol,Yaochen Hu,Huifeng Guo,Ruiming Tang,Han Yuan,Xiuqiang He,Mark Coates
论文6:WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams
WavingSketch:在数据流中查找Top-k项的无偏通用草图
作者:Jizhou Li,Zikun Li,Yifei Xu,Shiqi Jiang,Tong Yang,Bin Cui,Yafei Dai,Gong Zhang
NO.6 京东
KDD2020 中,京东发表论文数 6,占比 1.8%
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论文1:
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data
CAST:一种基于相关性的多尺度数据自适应谱聚类算法
作者:Li Xiang,Kao Ben,Shan Caihua,Yin Dawei,Ester Martin
论文2:AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction
AutoST:时空预测的有效神经结构搜索
作者:Ting Li,Junbo Zhang,Kainan Bao,Yuxuan Liang,Yexin Li,Yu ZhengYu Zheng
论文3:Faster Secure Data Mining via Distributed Homomorphic Encryption基于分布式同态加密的快速安全数据挖掘
作者:Junyi Li,Heng Huang
论文4:Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data垂直分区数据的联邦双随机核学习
作者:Bin Gu,Zhiyuan Dang,Xiang Li,Heng Huang
论文5:Doing in One Go: Delivered Time Inference Based on Coueriers' Trajectories一次性完成:基于Couerier轨迹的交付时间推断
作者:Sijie Ruan,Zi Xiong,Cheng Long,Yiheng Chen,Jie Bao,Tianfu He,Ruiyuan Li ,Shengnan Wu,Zhongyuan Jiang,Yu Zheng
论文6:Category-Specific CNN for Visual-aware CTR Prediction at JD.com京东用于视觉感知CTR预测的类别特定CNN
作者:Hu Liu,Jing Lu,Hao Yang,Xiwei Zhao,Sulong Xu,Hao Peng,Zehua Zhang,Wenjie Niu,Xiaokun Zhu,Yongjun Bao,Weipeng Yan
NO.7 联想
KDD2020 中,联想发表论文数 3,占比 0.9%
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论文1:ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification
ST-siamenet:用于人类移动特征识别的时空暹罗网络
作者:Huimin Ren,Menghai Pan,Yanhua Li,Xun Zhou,Jun Luo
论文2:xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis
xGAIL:用于可解释的人类决策分析的可解释生成对抗模仿学习
作者:Menghai Pan,Weixiao Huang,Yanhua Li,Xun Zhou,Jun Luo
论文3:Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks
Curb-GAN:基于时空生成对抗网络的有条件城市交通量估计
作者:Yingxue Zhang,Yanhua Li,Xun Zhou,Xiangnan Kong,Jun Luo
根据官方信息,KDD2020 主席、执行委员会和组委会决定将本年度会议完全虚拟化,接下来的几周官方会公布更多的议程和计划细节。
注册现已开放,敬请关注 2020 年 8 月 23 日至 27 日的所有直播和点播安排。
官网链接:https://www.kdd.org/kdd2020/
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