Do as I can, not as I get
Not on the map. Why?
Abstract (arXiv)
This paper proposes a model called TMR to mine valuable information from simulated data environments. We intend to complete the submission of this paper.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 37 of its 71 references that are in the map. First posted on arXiv 17 Jun 2023.
Builds on
37 of 71 references.
References · 37
- 2017Inductive Representation Learning on Large Graphscited by 6,284
- 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
- 2016Generative Adversarial Imitation Learningcited by 1,576
- 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
- 2018A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progresscited by 294
- 2019Attention on Attention for Image Captioningcited by 289
- 2017DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoningcited by 265
- 2019Inductive Relation Prediction by Subgraph Reasoningcited by 237
- 2020A Review on Generative Adversarial Networks: Algorithms, Theory, and Applicationscited by 209
- 2019DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphscited by 173
- 2017Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learningcited by 161
- 2022Exploration in Deep Reinforcement Learning: A Surveycited by 158
25 more
- 2014Return of the Devil in the Details: Delving Deep into Convolutional Netscited by 122
- 2018Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applicationscited by 122
- 2019MMKG: Multi-Modal Knowledge Graphscited by 104
- 2018Multi-Hop Knowledge Graph Reasoning with Reward Shapingcited by 102
- 2019Reinforcement Knowledge Graph Reasoning for Explainable Recommendationcited by 102
- 2022Self-Supervised Learning for Recommender Systems: A Surveycited by 95
- 2021Knowledge Graph Reasoning with Relational Digraphcited by 91
- 2019Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoningcited by 63
- 2018Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embeddingcited by 53
- 2020Communicative Message Passing for Inductive Relation Reasoningcited by 53
- 2020Heterogeneous Hypergraph Embedding for Graph Classificationcited by 52
- 2020Generalized Hindsight for Reinforcement Learningcited by 51
- 2020Modeling Human Driving Behavior through Generative Adversarial Imitation Learningcited by 43
- 2018Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrievalcited by 33
- 2021Meta-Knowledge Transfer for Inductive Knowledge Graph Embeddingcited by 31
- 2021Temporal Meta-path Guided Explainable Recommendationcited by 26
- 2022An Open Challenge for Inductive Link Prediction on Knowledge Graphscited by 26
- 2022Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphscited by 26
- 2019Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoningcited by 23
- 2021Improving Inductive Link Prediction Using Hyper-Relational Factscited by 21
- 2022Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machinescited by 20
- 2021Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphscited by 18
- 2020An Improved Attention for Visual Question Answeringcited by 14
- 2022MMKGR: Multi-hop Multi-modal Knowledge Graph Reasoningcited by 13
- 2022RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphscited by 12
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