← authors · overview

• Semantic Compositional Networks for Visual Captioning
  2016
• Deep Generative Models for Relational Data with Side Information
  2017
• Learning Context-Sensitive Convolutional Filters for Text Processing
  2017
• Topic Compositional Neural Language Model
  2017
• Diffusion Maps for Textual Network Embedding
  2018
• Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
  2018
• Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  2019
• Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
  2019
• Improving Textual Network Embedding with Global Attention via Optimal Transport
  2019
• Improving Textual Network Learning with Variational Homophilic Embeddings
  2019
• Graph Optimal Transport for Cross-Domain Alignment
  2020
• Learning Graphons via Structured Gromov-Wasserstein Barycenters
  2020
• Wasserstein Contrastive Representation Distillation
  2020
• Improving Downstream Task Performance by Treating Numbers as Entities
  2022
• Graph Transformers Dream of Electric Flow
  2024