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20172020
most citedACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning

39 citations · 75 across the 2 of their papers we have counts for

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2 papers · 1 filter

cs.LG2020

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Da Zheng, Chao Ma, Minjie Wang +6

Graph neural networks (GNN) have shown great success in learning from graph-structured data. They are widely used in various applications, such as recommendation, fraud detection,…

cs.LG2019

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Minjie Wang, Da Zheng, Zihao Ye +12

Advancing research in the emerging field of deep graph learning requires new tools to support tensor computation over graphs. In this paper, we present the design principles and im…