Thomas Kipf

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Graph neural networks: A review of methods and applications

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Text Data Augmentation for Deep Learning

Graph convolutional networks: a comprehensive review

DeepGCNs: Can GCNs Go As Deep As CNNs?

Graph Neural Networks: A Review of Methods and Applications

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs

LambdaNetworks: Modeling Long-Range Interactions Without Attention

Deep Learning on Graphs: A Survey

How to Represent Part-Whole Hierarchies in a Neural Network

Toward Causal Representation Learning

Deep Learning for Generic Object Detection: A Survey

Attention mechanisms in computer vision: A survey

Object-Centric Learning with Slot Attention

Neural Relational Inference for Interacting Systems