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• It's All Connected: Topology-Aware Structural Graph Encoding Improves Performance on Polymer Prediction
  2026
• The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression
  2025
• Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework
  2018
• Self-Attention Equipped Graph Convolutions for Disease Prediction
  2018
• A Statistical Relational Approach to Learning Distance-based GCNs
  2021
• Knowledge Graph Question Answering using Graph-Pattern Isomorphism
  2021
• Stochastic Graph Transformation For Social Network Modeling
  2021
• Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control
  2022
• Bootstrap aggregation and confidence measures to improve time series causal discovery
  2023
• Optimal transport distances for directed, weighted graphs: a case study with cell-cell communication networks
  2023
• BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
  2024