← authors · overview

• A Survey on Oversmoothing in Graph Neural Networks
  2023 · 82 citations
• Transferability of Spectral Graph Convolutional Neural Networks
  2019 · 50 citations
• Dual-Primal Graph Convolutional Networks
  2018 · 36 citations
• Understanding over-squashing and bottlenecks on graphs via curvature
  2021 · 34 citations
• Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
  2020 · 25 citations
• Graph Neural Networks for Link Prediction with Subgraph Sketching
  2022 · 18 citations
• Graph Neural Networks for IceCube Signal Classification
  2018 · 16 citations
• Amortized Sampling with Transferable Normalizing Flows
  2025 · 13 citations
• Understanding convolution on graphs via energies
  2022 · 12 citations
• Gradient Gating for Deep Multi-Rate Learning on Graphs
  2022 · 7 citations
• Graph Anisotropic Diffusion
  2022 · 1 citations
• Over-squashing in Spatiotemporal Graph Neural Networks
  2025
• Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
  2025
• Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
  2025
• MotifNet: a motif-based Graph Convolutional Network for directed graphs
  2018