← authors · overview

• Policy-GNN: Aggregation Optimization for Graph Neural Networks
  2020 · 87 citations
• Policy-GNN: Aggregation Optimization for Graph Neural Networks
  2020 · 87 citations
• Experience Replay Optimization
  2019 · 85 citations
• Towards Deeper Graph Neural Networks with Differentiable Group Normalization
  2020 · 82 citations
• Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
  2020 · 56 citations
• Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
  2021 · 39 citations
• RLCard: A Toolkit for Reinforcement Learning in Card Games
  2019 · 32 citations
• DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
  2021 · 21 citations
• Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
  2022 · 17 citations
• Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
  2021 · 13 citations
• Simplifying Deep Reinforcement Learning via Self-Supervision
  2021 · 12 citations
• OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
  2023 · 11 citations
• Dual Policy Distillation
  2020 · 10 citations
• Multi-Channel Graph Convolutional Networks
  2019 · 7 citations
• Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning
  2025 · 1 citations