Victor E. Lee - RankMe

20 papers A* 5C 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Efficient Machine Learning on Large-Scale Graphs. KDD Parker Erickson, Victor E. Lee, Feng Shi, Jiliang Tang
2021	—	`conf`	PG-Keys: Keys for Property Graphs. SIGMOD Conference Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Keith W. Hare, Jan Hidders, Victor E. Lee, Bei Li, Leonid Libkin, Wim Martens, Filip Murlak, Josh Perryman, Ognjen Savkovic, Michael Schmidt, Juan F. Sequeda, Slawek Staworko, Dominik Tomaszuk
2020	—	`conf`	Aggregation Support for Modern Graph Analytics in TigerGraph. SIGMOD Conference Alin Deutsch, Yu Xu, Mingxi Wu, Victor E. Lee
2019	J	`jnl`	Privacy-aware smart city: A case study in collaborative filtering recommender systems. J. Parallel Distributed Comput. Feng Zhang, Victor E. Lee, Ruoming Jin, Saurabh Garg, Kim-Kwang Raymond Choo, Michele Maasberg, Lijun Dong, Chi Cheng
2019	J	`jnl`	TigerGraph: A Native MPP Graph Database. CoRR Alin Deutsch, Yu Xu, Mingxi Wu, Victor E. Lee
2018	J	`jnl`	Jo-DPMF: Differentially private matrix factorization learning through joint optimization. Inf. Sci. Feng Zhang, Victor E. Lee, Kim-Kwang Raymond Choo
2018	—	`ch.`	Uncertain Graph Data Management. Encyclopedia of Database Systems (2nd ed.) Lin Liu, Victor E. Lee, Ruoming Jin
2016	J	`jnl`	Fast algorithms to evaluate collaborative filtering recommender systems. Knowl. Based Syst. Feng Zhang, Ti Gong, Victor E. Lee, Gansen Zhao, Chunming Rong, Guangzhi Qu
2015	—	`conf`	Fast and Accurate Computation of Role Similarity via Vertex Centrality. WAIM Longjie Li, Lvjian Qian, Victor E. Lee, Mingwei Leng, Mei Chen, Xiaoyun Chen
2015	C	`conf`	Simple is Beautiful: An Online Collaborative Filtering Recommendation Solution with Higher Accuracy. APWeb Feng Zhang, Ti Gong, Victor E. Lee, Gansen Zhao, Guangzhi Qu
2014	—	`ch.`	Decision Trees: Theory and Algorithms. Data Classification: Algorithms and Applications Victor E. Lee, Lin Liu, Ruoming Jin
2014	—	`ch.`	Frequent Pattern Mining in Data Streams. Frequent Pattern Mining Victor E. Lee, Ruoming Jin, Gagan Agrawal
2014	J	`jnl`	Scalable and axiomatic ranking of network role similarity. ACM Trans. Knowl. Discov. Data Ruoming Jin, Victor E. Lee, Longjie Li
2014	A*	`conf`	k-CoRating: Filling Up Data to Obtain Privacy and Utility. AAAI Feng Zhang, Victor E. Lee, Ruoming Jin
2012	—	`conf`	A highway-centric labeling approach for answering distance queries on large sparse graphs. SIGMOD Conference Ruoming Jin, Ning Ruan, Yang Xiang, Victor E. Lee
2011	J	`jnl`	Axiomatic Ranking of Network Role Similarity CoRR Ruoming Jin, Victor E. Lee, Hui Hong
2011	A*	`conf`	Axiomatic ranking of network role similarity. KDD Ruoming Jin, Victor E. Lee, Hui Hong
2010	—	`ch.`	A Survey of Algorithms for Dense Subgraph Discovery. Managing and Mining Graph Data Victor E. Lee, Ning Ruan, Ruoming Jin, Charu C. Aggarwal
2009	A*	`conf`	A Sparsification Approach for Temporal Graphical Model Decomposition. ICDM Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
2009	A*	`conf`	Migration motif: a spatial - temporal pattern mining approach for financial markets. KDD Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr.