Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs

3 Sep 2019Minjie WangLingfan YuDa ZhengQuan GanYu GaiZihao YeMufei LiJinjing ZhouQi HuangChao MaZiyue HuangQipeng GuoHao ZhangHaibin LinJunbo ZhaoJinyang LiAlexander SmolaZheng Zhang

Accelerating research in the emerging field of deep graph learning requires new tools. Such systems should support graph as the core abstraction and take care to maintain both forward (i.e. supporting new research ideas) and backward (i.e. integration with existing components) compatibility... (read more)

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Evaluation Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK COMPARE
Node Classification Cora GAT (DGL) Accuracy 83.98% # 13