Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling von Kaler, Tim, Hasenplaugh, William, Schardl, Tao B., Leiserson, Charles E.

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The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset von Bellei, Claudio, Xu, Muhua, Phillips, Ross, Robinson, Tom, Weber, Mark, Kaler, Tim, Leiserson, Charles E, Arvind, Chen, Jie

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Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching von Kaler, Tim, Iliopoulos, Alexandros-Stavros, Murzynowski, Philip, Schardl, Tao B, Leiserson, Charles E, Chen, Jie

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Polylogarithmic Fully Retroactive Priority Queues via Hierarchical Checkpointing von Demaine, Erik D., Kaler, Tim, Liu, Quanquan, Sidford, Aaron, Yedidia, Adam

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Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs von Kaler, Tim, Kuszmaul, William, Schardl, Tao B, Vettorel, Daniele

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Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining von Kaler, Tim, Stathas, Nickolas, Ouyang, Anne, Iliopoulos, Alexandros-Stavros, Schardl, Tao B, Leiserson, Charles E, Chen, Jie

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Ordering Heuristics for Parallel Graph Coloring von Hasenplaugh, William, Kaler, Tim, Schardl, Tao B., Leiserson, Charles E.

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Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling von Kaler, Tim, Hasenplaugh, William, Schardl, Tao B., Leiserson, Charles E.

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The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset von Bellei, Claudio, Xu, Muhua, Phillips, Ross, Robinson, Tom, Weber, Mark, Kaler, Tim, Leiserson, Charles E, Arvind, Chen, Jie

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Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching von Kaler, Tim, Alexandros-Stavros Iliopoulos, Murzynowski, Philip, Schardl, Tao B, Leiserson, Charles E, Chen, Jie

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EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs von Pareja, Aldo, Domeniconi, Giacomo, Chen, Jie, Ma, Tengfei, Suzumura, Toyotaro, Kanezashi, Hiroki, Kaler, Tim, Schardl, Tao B, Leiserson, Charles E

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Scalable Graph Learning for Anti-Money Laundering: A First Look von Weber, Mark, Chen, Jie, Suzumura, Toyotaro, Pareja, Aldo, Ma, Tengfei, Kanezashi, Hiroki, Kaler, Tim, Leiserson, Charles E, Schardl, Tao B

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Cilkmem: Algorithms for Analyzing the Memory High-Water Mark of Fork-Join Parallel Programs von Kaler, Tim, Kuszmaul, William, Schardl, Tao B, Vettorel, Daniele

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Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining von Kaler, Tim, Stathas, Nickolas, Ouyang, Anne, Alexandros-Stavros Iliopoulos, Schardl, Tao B, Leiserson, Charles E, Chen, Jie

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A Multicore Path to Connectomics-on-Demand von Matveev, Alexander, Meirovitch, Yaron, Saribekyan, Hayk, Jakubiuk, Wiktor, Kaler, Tim, Odor, Gergely, Budden, David, Zlateski, Aleksandar, Shavit, Nir

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EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs von Pareja, Aldo, Domeniconi, Giacomo, Chen, Jie, Ma, Tengfei, Suzumura, Toyotaro, Kanezashi, Hiroki, Kaler, Tim, Schardl, Tao B, Leiserson, Charles E

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Scalable Graph Learning for Anti-Money Laundering: A First Look von Weber, Mark, Chen, Jie, Suzumura, Toyotaro, Pareja, Aldo, Ma, Tengfei, Kanezashi, Hiroki, Kaler, Tim, Leiserson, Charles E, Schardl, Tao B

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