AInvR: Adaptive Learning Rewards for Knowledge Graph Reasoning Using Agent Trajectories
Author:
Affiliation:
1. School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China,611731
Funder
National Natural Science Foundation of China
Publisher
Tsinghua University Press
Subject
Multidisciplinary
Link
http://xplorestaging.ieee.org/ielx7/5971803/10197185/10197192.pdf?arnumber=10197192
Reference57 articles.
1. Generative Adversarial Networks
2. DRUM: End-to-end differentiable rule mining on knowledge graphs;sadeghian;Proc 33rd Int Conf Neural Information Processing Systems,2019
3. Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT
4. A survey of community search over big graphs
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