| Year | Venue | Model | Title | Algorithm | Paper | Code |
|---|---|---|---|---|---|---|
| 2024 | IEEE Transactions on Computational Social Systems | ToupleGDD | ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning | DQN | Paper | Code |
| 2024 | IEEE Transactions on Computational Social Systems | G2-SNIA | Single-Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning | PPO | Paper | Code |
| 2024 | IEEE Transactions on Computational Social Systems | GANI | GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections | MDP | Paper | Code |
| Information Sciences | Song el al. | Two-level adversarial attacks for graph neural networks | MDP | Paper | Code |
| Year | Venue | Model | Title | Algorithm | Paper | Code |
|---|---|---|---|---|---|---|
| 2023 | Machine Learning and Knowledge Discovery in Databases | FITCARL | Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning | MDP | Paper | Code |
| 2023 | Information Processing & Management | DCRN | Reinforcement learning with dynamic completion for answering multi-hop questions over incomplete knowledge graph | MDP | Paper | Code |
| 2023 | Information Sciences | ARN | Incorporating anticipation embedding into reinforcement learning framework for multi-hop knowledge graph question answering | REINFORCE | Paper | Code |
| 2023 | ICML | DeepIM | Deep Graph Representation Learning and Optimization for Influence Maximization | MDP | Paper | Code |
| 2023 | CLeaR | MCD | A Meta-Reinforcement Learning Algorithm for Causal Discovery | Actor-Critic | Paper | Code |
| 2023 | MLSys | X-RLflow | X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation | PPO | Paper | Code |
| 2023 | Conference of the European Chapter of the Association for Computational Linguistics | Jiang et al. | Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning | REINFORCE | Paper | Code |
| Year | Venue | Model | Title | Algorithm | Paper | Code |
|---|---|---|---|---|---|---|
| 2022 | IEEE TKDE | RL-GraphMI | Model Inversion Attacks Against Graph Neural Networks | Q-Learning | Paper | Code |
| 2022 | arXiv | LKH | Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning | MDP | Paper | Code |
| 2022 | ACM SIGIR | CGKR | Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator | MDP | Paper | Code |
| 2022 | arXiv | CERec | Reinforced Path Reasoning for Counterfactual Explainable Recommendation | MDP | Paper | Code |
| 2022 | techrxiv | TOFA | You Only Train Once: A highly generalizable reinforcement learning method for dynamic job shop scheduling problem | MDP | Paper | Code |
| 2022 | Neurocomputing | E-GAT | Solve routing problems with a residual edge-graph attention neural network | PPO | Paper | Code |
| 2022 | arXiv | ECORD | Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration | DQN | Paper | Code |
| 2022 | AAAI | CURL | Learning to Walk with Dual Agents for Knowledge Graph Reasoning | MDP | Paper | Code |
| 2022 | arXiv | GRL | Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments | DQN | Paper | Code |
| 2022 | IEEE TNNLS | LEGIT | Explaining Deep Graph Networks via Input Perturbation | MDP | Paper | Code |
| 2022 | IEEE TPAMI | DRL-DBSCAN | Reinforced, Incremental and Cross-lingual Event Detection From Social Messages | MarGNN | Paper | Code |
| 2022 | IEEE TKDE | RTGNN | Multi-view Tensor Graph Neural Networks Through Reinforced Aggregation | MDP | Paper | Code |
| 2022 | IEEE TKDE | LUCE | Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market | MDP | Paper | Code |
| 2022 | ICLR | AGILE | Know Your Action Set: Learning Action Relations for Reinforcement Learning | PPO\DQN\CDQN | Paper | Code |
| 2022 | arXiv | GTA-RL | Solving Dynamic Graph Problems with Multi-Attention Deep Reinforcement Learning | REINFORCE | Paper | Code |
| 2022 | CIKM | Saha et al. | A Model-Centric Explainer for Graph Neural Network based Node Classification | REINFORCE | Paper | Code |
| 2022 | IEEE ITSC | Liu et al. | Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios | MDP | Paper | Code |
| 2022 | IEEE TII | DRL | Flexible job-shop scheduling via graph neural network and deep reinforcement learning | PPO | Paper | Code |
| 2022 | KBS | Zhu et al. | Step by step: A hierarchical framework for multi-hop knowledge graph reasoning with reinforcement learning | MDP | Paper | Code |
| Year | Venue | Model | Title | Algorithm | Paper | Code |
|---|---|---|---|---|---|---|
| 2021 | Neural Networks | Dapath | Dapath: Distance-aware knowledge graph reasoning based on deep reinforcement learning | REINFORCE | Paper | Code |
| 2021 | IEEE TNNLS | FOREST | Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks | REINFORCE | Paper | Code |
| 2021 | CP | Boffa et al. | Neural combinatorial optimization beyond the TSP: Existing architectures under-represent graph structure | MDP | Paper | Code |
| 2021 | ICML | SubgraphX | On Explainability of Graph Neural Networks via Subgraph Explorations | MCTS | Paper | Code |
| 2021 | WWW | SUGAR | SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism | Q-learning | Paper | Code |
| 2021 | IJCAI | CORL | Ordering-Based Causal Discovery with Reinforcement Learning | MDP | Paper | Code |
| 2021 | ACM TOIS | RioGNN | Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks | MDP | Paper | Code |
| 2021 | IEEE T-ITS | IG-RL | IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control | MDP | Paper | Code |
| 2021 | arXiv | TITer | TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting | REINFORCE | Paper | Code |
| 2021 | arXiv | SparRL | SparRL: Graph Sparsification via Deep Reinforcement Learning | MDP | Paper | Code |
| 2021 | IJCKG | PAAR | Multi-hop Knowledge Graph Reasoning Based on Hyperbolic Knowledge Graph Embedding and Reinforcement Learning | MDP | Paper | Code |
| Year | Venue | Model | Title | Algorithm | Paper | Code |
|---|---|---|---|---|---|---|
| 2020 | Nature Machine Intelligence | FINDER | Finding key players in complex networks through deep reinforcement learning | Q-Learning | Paper | Code |
| 2020 | KDD | Policy-GNN | Policy-GNN: Aggregation Optimization for Graph Neural Networks | DQN | Paper | Code |
| 2020 | CIKM | CARE-GNN | Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters | BMAB | Paper | Code |
| 2020 | ICLR | RL-BIC | Causal Discovery with Reinforcement Learning | AC | Paper | Code |
| 2020 | ICLR | RL-based Graph2Seq | Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation | REINFORCE | Paper | Code |
| 2020 | ICLR | DGN | Graph Convolutional Reinforcement Learning | Q-learning | Paper | Code |
| 2020 | Journal of cheminformatics | DeepGraphMolGen | DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach | PPO | Paper | Code |
| 2020 | arXiv | KG-A2C | Graph Constrained Reinforcement Learning for Natural Language Action Spaces | A2C | Paper | Code |
| 2020 | NeurIPS | GPA | Graph Policy Network for Transferable Active Learning on Graphs | MDP | Paper | Code |
| 2020 | AAAI/ACM Conference on AI | GAEA | GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning | MDP | Paper | Code |
| Year | Venue | Model | Title | Algorithm | Paper | Code |
|---|---|---|---|---|---|---|
| 2019 | CIKM | CompNet | Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning | DQN | Paper | Code |
| 2019 | AISTATS | GRPI | Representation Learning on Graphs: A Reinforcement Learning Application | MDP | Paper | Code |
| 2019 | arXiv | DRL+GNN | Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case | DQN | Paper | Code |
| 2019 | arXiv | Graph2Seq | Reinforcement learning based graph-to-sequence model for natural question generation | MDP | Paper | Code |
| 2019 | arXiv | GPN | Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning | REINFORCE | Paper | Code |
| 2019 | ACM SIGIR | PGPR | Reinforcement Knowledge Graph Reasoning for Explainable Recommendation | REINFORCE | Paper | Code |
| 2019 | DRL4KDD | Rel4KC | Rel4KC: A Reinforcement Learning Agent for Knowledge Graph Completion and Validation | MDP | Paper | Code |
| 2019 | arXiv | GraphNAS | GraphNAS: Graph Neural Architecture Search with Reinforcement Learning | MDP | Paper | Code |
| Year | Venue | Model | Title | Algorithm | Paper | Code |
|---|---|---|---|---|---|---|
| 2018 | arXiv | DGN | Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation | DQN | Paper | Code |
| 2018 | NeurIPS | GCPN | Graph convolutional policy network for goal-directed molecular graph generation | MDP | Paper | Code |
| 2018 | arXiv | KG-DQN | Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning | DQN | Paper | Code |
| 2018 | AAAI | ASNets | Action Schema Networks: Generalised Policies with Deep Learning | MDP | Paper | Code |
| Year | Venue | Model | Title | Algorithm | Paper | Code |
|---|---|---|---|---|---|---|
| 2017 | NIPS | S2V-DQN | Learning Combinatorial Optimization Algorithms over Graphs | Q-learning | Paper | Code |
| 2017 | arXiv | Deeppath | Deeppath: A reinforcement learning method for knowledge graph reasoning | DQN | Paper | Code |
| 2017 | ICLR | MINERVA | Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning | REINFORCE | Paper | Code |
| 2017 | arXiv | KBGAN | KBGAN: Adversarial Learning for Knowledge Graph Embeddings | REINFORCE | Paper | Code |