Neural, symbolic and neural-symbolic reasoning on knowledge graphs-Reference-Cited by-同舟云学术

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Neural, symbolic and neural-symbolic reasoning on knowledge graphs

Published:2021 Issue: Volume:2 Page:14-35
ISSN:2666-6510
Container-title:AI Open
language:en
Short-container-title:AI Open

Author:

Zhang Jing,Chen Bo,Zhang Lingxi,Ke Xirui,Ding Haipeng

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference174 articles.

1. Automated template generation for question answering over knowledge graphs;Abujabal,2017

2. Constraint-based question answering with knowledge graph;Bao,2016

3. More accurate question answering on freebase;Bast,2015

4. Greedy layer-wise training of deep networks;Bengio,2007

5. Semantic parsing on freebase from question-answer pairs;Berant,2013

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1. A review of graph neural networks and pretrained language models for knowledge graph reasoning;Neurocomputing;2024-12

2. A survey on temporal knowledge graph embedding: Models and applications;Knowledge-Based Systems;2024-11

3. RuMER-RL: A hybrid framework for sparse knowledge graph explainable reasoning;Information Sciences;2024-10

4. Enhancing Pre-trained Deep Learning Model with Self-Adaptive Reflection;Cognitive Computation;2024-09-03

5. Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey;ACM Transactions on Knowledge Discovery from Data;2024-08-12

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