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20212023
most citedGraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

5 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 1 cited

GIPA: A General Information Propagation Algorithm for Graph Learning

Houyi Li, Zhihong Chen, Zhao Li +3

Graph neural networks (GNNs) have been widely used in graph-structured data computation, showing promising performance in various applications such as node classification, link pre…

cs.AI2022

RNNCTPs: A Neural Symbolic Reasoning Method Using Dynamic Knowledge Partitioning Technology

Yu-hao Wu, Hou-biao Li

Although traditional symbolic reasoning methods are highly interpretable, their application in knowledge graph link prediction is limited due to their low computational efficiency.…

cs.IR2021

Path-based Deep Network for Candidate Item Matching in Recommenders

Houyi Li, Zhihong Chen, Chenliang Li +5

The large-scale recommender system mainly consists of two stages: matching and ranking. The matching stage (also known as the retrieval step) identifies a small fraction of relevan…

cs.LG2021★ 1 cited

GIPA: General Information Propagation Algorithm for Graph Learning

Qinkai Zheng, Houyi Li, Peng Zhang +4

Graph neural networks (GNNs) have been popularly used in analyzing graph-structured data, showing promising results in various applications such as node classification, link predic…

cs.LG2021★ 5 cited

GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

Yongchao Liu, Houyi Li, Guowei Zhang +8

Graph neural networks (GNNs) have been demonstrated as a powerful tool for analyzing non-Euclidean graph data. However, the lack of efficient distributed graph learning systems sev…