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• Discriminative Embeddings of Latent Variable Models for Structured Data
  2016
• Learning Combinatorial Optimization Algorithms over Graphs
  2017
• Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
  2017
• Variational Reasoning for Question Answering with Knowledge Graph
  2017
• KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings
  2018
• Adversarial Attack on Graph Structured Data
  2018
• Learning Transferable Graph Exploration
  2019
• Retrosynthesis Prediction with Conditional Graph Logic Network
  2020
• Scalable Deep Generative Modeling for Sparse Graphs
  2020
• Energy-based View of Retrosynthesis
  2020
• SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
  2021
• Annealed Training for Combinatorial Optimization on Graphs
  2022
• Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
  2023