activity
20192022
most citedInteraction Embeddings for Prediction and Explanation in Knowledge Graphs

150 citations · 192 across the 6 of their papers we have counts for

collaborators

8 papers

cs.AI20226 cited

Neural-Symbolic Entangled Framework for Complex Query Answering

Zezhong Xu, Wen Zhang, Peng Ye +2

Answering complex queries over knowledge graphs (KG) is an important yet challenging task because of the KG incompleteness issue and cascading errors during reasoning. Recent query…

cs.LO20221 cited

Ruleformer: Context-aware Differentiable Rule Mining over Knowledge Graph

Zezhong Xu, Peng Ye, Hui Chen +3

Rule mining is an effective approach for reasoning over knowledge graph (KG). Existing works mainly concentrate on mining rules. However, there might be several rules that could be…

cs.AI2022

PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application

Wen Zhang, Chi-Man Wong, Ganqinag Ye +4

In recent years, knowledge graphs have been widely applied as a uniform way to organize data and have enhanced many tasks requiring knowledge. In online shopping platform Taobao, w…

astro-ph.HE202014 cited

Insight-HXMT observations of Swift J0243.6+6124: the evolution of RMS pulse fractions at super-Eddington luminosity

P. J. Wang, L. D. Kong, S. Zhang +116

Based on Insight-HXMT data, we report on the pulse fraction evolution during the 2017-2018 outburst of the newly discovered first Galactic ultraluminous X-ray source (ULX) Swift J0…

cs.CV2020

CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception

Sibo Zhang, Yuexin Ma, Ruigang Yang

This paper reviews the CVPR 2019 challenge on Autonomous Driving. Baidu's Robotics and Autonomous Driving Lab (RAL) providing 150 minutes labeled Trajectory and 3D Perception datas…

cs.CL2019

Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

Mingyang Chen, Wen Zhang, Wei Zhang +2

Link prediction is an important way to complete knowledge graphs (KGs), while embedding-based methods, effective for link prediction in KGs, perform poorly on relations that only h…