← authors · overview

• An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks
  2020 · 165 citations
• 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
• Dynamic Memory based Attention Network for Sequential Recommendation
  2021 · 62 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
• A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
  2022 · 19 citations
• MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
  2022 · 17 citations
• AutoRec: An Automated Recommender System
  2020 · 16 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