Charles E. Leiserson

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All published works (20)

Action	Title	Date	Authors
+ PDF Ask	The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset	2024-04-29	C. Bellei Muhua Xu Ross Phillips Tom Robinson Mark Weber Tim Kaler Charles E. Leiserson Arvind Arvind Jie Chen
+ PDF Ask	Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching	2023-01-01	Tim Kaler Alexandros-Stavros Iliopoulos Philip Murzynowski Tao B. Schardl Charles E. Leiserson Jie Chen
+ PDF Ask	Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining	2021-10-15	Tim Kaler Nickolas Stathas Anne Ouyang Alexandros-Stavros Iliopoulos Tao B. Schardl Charles E. Leiserson Jie Chen
+ PDF Ask	Floors and Ceilings in Divide-and-Conquer Recurrences	2021-01-01	William Kuszmaul Charles E. Leiserson
+	PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation	2021-01-01	Tim Kaler Tao B. Schardl Brian Xie Charles E. Leiserson Jie Chen Aldo Pareja Γεώργιος Κόλλιας
+ PDF Ask	Multidimensional Included and Excluded Sums	2021-01-01	Helen Xu Sean Fraser Charles E. Leiserson
+ PDF Ask	Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining	2021-01-01	Tim Kaler Nickolas Stathas Anne Ouyang Alexandros-Stavros Iliopoulos Tao B. Schardl Charles E. Leiserson Jie Chen
+ PDF Ask	Multidimensional Included and Excluded Sums	2021-01-01	Helen Xu Sean Fraser Charles E. Leiserson
+ PDF Ask	EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs	2020-04-03	Aldo Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura Hiroki Kanezashi Tim Kaler Tao B. Schardl Charles E. Leiserson
+	Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics.	2019-07-31	Mark Weber Giacomo Domeniconi Jie Chen Daniel Karl I. Weidele Claudio Bellei Tom Robinson Charles E. Leiserson
+ PDF Ask	Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics	2019-01-01	Mark Weber Giacomo Domeniconi Jie Chen Daniel Karl I. Weidele C. Bellei Thompson Robinson Charles E. Leiserson
+ PDF Ask	EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs	2019-01-01	Aldo Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura Hiroki Kanezashi Tim Kaler Tao B. Schardl Charles E. Leiserson
+ PDF Ask	Scalable Graph Learning for Anti-Money Laundering: A First Look	2018-01-01	Mark Weber Jie Chen Toyotaro Suzumura Aldo Pareja Tengfei Ma Hiroki Kanezashi Tim Kaler Charles E. Leiserson Tao B. Schardl
+	31. Zahlentheoretische Algorithmen	2017-03-08	Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest Clifford Stein
+ PDF Ask	On the efficiency of localized work stealing	2015-10-16	Warut Suksompong Charles E. Leiserson Tao B. Schardl
+ PDF Ask	Upper Bounds on Number of Steals in Rooted Trees	2015-02-27	Charles E. Leiserson Tao B. Schardl Warut Suksompong
+ PDF Ask	Standards for graph algorithm primitives	2013-09-01	Tim Mattson David A. Bader Jon Berry Aydın Buluç Jack Dongarra Christos Faloutsos John Feo John R. Gilbert Joseph E. Gonzalez Bruce Hendrickson
+	Algorithmic Analysis of Multithreaded Algorithms (Abstract)	1997-12-17	Charles E. Leiserson
+	Introduction to Algorithms	1991-09-01	V. J. Rayward‐Smith Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest
+ PDF Ask	An application of number theory to the organization of raster-graphics memory	1986-01-02	Benny Chor Charles E. Leiserson Ronald L. Rivest James B. Shearer

Common Coauthors

Coauthor	Papers Together
Tao B. Schardl	9
Tim Kaler	8
Giacomo Domeniconi	4
Mark Weber	4
Aldo Pareja	4
Alexandros-Stavros Iliopoulos	3
Jie Chen	3
Ronald L. Rivest	3
Toyotaro Suzumura	3
Tengfei Ma	3
Jie Chen	3
Jie Chen	3
Hiroki Kanezashi	3
Anne Ouyang	2
Sean Fraser	2
Warut Suksompong	2
C. Bellei	2
Helen Xu	2
Tom Robinson	2
Daniel Karl I. Weidele	2
Thomas H. Cormen	2
Nickolas Stathas	2
Steve Wallach	1
David A. Bader	1
Andrew S. Yoo	1
Philip Murzynowski	1
Γεώργιος Κόλλιας	1
John R. Gilbert	1
David Padua	1
Muhua Xu	1
Ross Phillips	1
Bruce Hendrickson	1
James B. Shearer	1
V. J. Rayward‐Smith	1
Tim Mattson	1
William Kuszmaul	1
Steve Reinhardt	1
Christos Faloutsos	1
Aydın Buluç	1
Claudio Bellei	1
Stephen W Poole	1
Thompson Robinson	1
Clifford Stein	1
Brian Xie	1
John Feo	1
Jie Chen	1
Benny Chor	1
Arvind Arvind	1
Mike Stonebraker	1
Jon Berry	1

Commonly Cited References

Action	Title	Date	Authors	# of times referenced
+ PDF Ask	Gated Graph Sequence Neural Networks	2015-01-01	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	3
+ PDF Ask	FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling	2018-01-01	Jie Chen Tengfei Ma Cao Xiao	3
+ PDF Ask	Neural Message Passing for Quantum Chemistry	2017-04-04	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	3
+ PDF Ask	Semi-Supervised Classification with Graph Convolutional Networks	2016-01-01	Thomas Kipf Max Welling	3
+ PDF Ask	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018-07-19	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	3
+ PDF Ask	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016-01-01	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	2
+ PDF Ask	Optimization Methods for Large-Scale Machine Learning	2018-01-01	Léon Bottou Frank E. Curtis Jorge Nocedal	2
+ PDF Ask	Inductive Representation Learning on Large Graphs	2017-06-07	William L. Hamilton Rex Ying Jure Leskovec	2
+	Introduction to Algorithms	1991-09-01	V. J. Rayward‐Smith Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest	2
+ PDF Ask	Introduction to Automatic Differentiation	2003-03-01	Andreas Griewank Andrea Walther	1
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016-06-30	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	1
+ PDF Ask	Neural Message Passing for Quantum Chemistry	2017-01-01	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	1
+ PDF Ask	Dynamic graph convolutional networks	2019-08-13	Franco Manessi Alessandro Rozza Mario Manzo	1
+ PDF Ask	Attributed Network Embedding for Learning in a Dynamic Environment	2017-11-06	Jundong Li Harsh Dani Xia Hu Jiliang Tang Yi Chang Huan Liu	1
+	A Master Theorem for Discrete Divide and Conquer Recurrences	2013-06-01	Michael Drmota Wojciech Szpankowski	1
+	Reverse-mode algorithmic differentiation of an OpenMP-parallel compressible flow solver	2017-06-29	Jan Hückelheim Paul Hovland Michelle Mills Strout Jens‐Dominik Müller	1
+ PDF Ask	Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network	2017-01-01	Wengong Jin Connor W. Coley Regina Barzilay Tommi Jaakkola	1
+ PDF Ask	UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction	2018-01-01	Leland McInnes John J. Healy	1
+	FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling	2018-01-30	Jie Chen Tengfei Ma Cao Xiao	1
+ PDF Ask	Representation Learning over Dynamic Graphs	2018-01-01	Rakshit Trivedi Mehrdad Farajtabar Prasenjeet Biswal Hongyuan Zha	1
+ PDF Ask	A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning	2018-02-28	Filip Šrajer Zuzana Kúkelová Andrew Fitzgibbon	1
+	Ransomware Payments In The Bitcoin Ecosystem	2018-04-11	Masarah Paquet-Clouston Bernhard Haslhofer Benoît Dupont	1
+ PDF Ask	DynGEM: Deep Embedding Method for Dynamic Graphs	2018-01-01	Palash Goyal Nitin Kamra Xinran He Yan Liu	1
+ PDF Ask	Stochastic Gradient Descent with Biased but Consistent Gradient Estimators	2018-01-01	Jie Chen Ronny Luss	1
+ PDF Ask	Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation	2018-09-12	Jan Hückelheim Paul Hovland Michelle Mills Strout Jens‐Dominik Müller	1
+ PDF Ask	Towards Sparse Hierarchical Graph Classifiers	2018-01-01	Cătălina Cangea Petar Veličković Nikola Jovanović Thomas Kipf Píetro Lió	1
+ PDF Ask	Scalable Graph Learning for Anti-Money Laundering: A First Look	2018-01-01	Mark Weber Jie Chen Toyotaro Suzumura Aldo Pareja Tengfei Ma Hiroki Kanezashi Tim Kaler Charles E. Leiserson Tao B. Schardl	1
+ PDF Ask	Fast Graph Representation Learning with PyTorch Geometric	2019-03-06	Matthias Fey Jan Eric Lenssen	1
+ PDF Ask	Cluster-GCN	2019-07-25	Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho‐Jui Hsieh	1
+ PDF Ask	Structured Sequence Modeling with Graph Convolutional Recurrent Networks	2016-01-01	Youngjoo Seo Michaël Defferrard Pierre Vandergheynst Xavier Bresson	1
+ PDF Ask	dyngraph2vec: Capturing network dynamics using dynamic graph representation learning	2019-07-01	Palash Goyal Sujit Rokka Chhetri Arquimedes Canedo	1
+ PDF Ask	How Powerful are Graph Neural Networks?	2018-01-01	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	1
+ PDF Ask	Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks	2019-07-17	Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton Jan Eric Lenssen Gaurav Rattan Martin Grohe	1
+ PDF Ask	Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs	2017-01-01	Rakshit Trivedi Hanjun Dai Yichen Wang Le Song	1
+ PDF Ask	Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting	2017-01-01	Yaguang Li Rose Yu Cyrus Shahabi Yan Liu	1
+ PDF Ask	Far-field compression for fast kernel summation methods in high dimensions	2015-10-26	William B. March George Biros	1
+ PDF Ask	Graph Attention Networks	2018-02-15	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+ PDF Ask	Convolutional Networks on Graphs for Learning Molecular Fingerprints	2015-01-01	David Duvenaud Dougal Maclaurin Jorge Aguilera‐Iparraguirre Rafael Gómez‐Bombarelli Timothy Hirzel Alán Aspuru‐Guzik Ryan P. Adams	1
+ PDF Ask	Adam: A Method for Stochastic Optimization	2014-01-01	Diederik P. Kingma Jimmy Ba	1
+ PDF Ask	Spectral Networks and Locally Connected Networks on Graphs	2013-01-01	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	1
+ PDF Ask	Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks	2019-01-01	Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu	1
+ PDF Ask	GraphSAINT: Graph Sampling Based Inductive Learning Method	2019-01-01	Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor K. Prasanna	1
+ PDF Ask	EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs	2020-04-03	Aldo Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura Hiroki Kanezashi Tim Kaler Tao B. Schardl Charles E. Leiserson	1
+ PDF Ask	Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks	2019-01-01	Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li Xiang Song Jinjing Zhou Chao Ma Lingfan Yu Yu Gai	1
+ PDF Ask	Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering	2016-04-11	Ruining He Julian McAuley	1
+ PDF Ask	Automatic Differentiation for Adjoint Stencil Loops	2019-07-25	Jan Hückelheim Navjot Kukreja Sri Hari Krishna Narayanan Fabio Luporini Gerard Gorman Paul Hovland	1
+ PDF Ask	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting	2018-07-01	Bing Yu Haoteng Yin Zhanxing Zhu	1
+ PDF Ask	The Unreasonable Effectiveness of Address Clustering	2016-07-01	Martin Harrigan Christoph Fretter	1
+ PDF Ask	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs	2020-11-01	Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis	1
+ PDF Ask	Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs	2021-08-13	Jialin Dong Da Zheng Lin F. Yang George Karypis	1