Skip to yearly menu bar Skip to main content


Search All 2020 Events
 

31 Results

<<   <   Page 3 of 3   >>   >
Poster
Tue 7:00 The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
Wenpin Tang · Xin Guo · Fengmin Tang
Poster
Wed 11:00 Robust Graph Representation Learning via Neural Sparsification
Cheng Zheng · Bo Zong · Wei Cheng · Dongjin Song · Jingchao Ni · Wenchao Yu · Haifeng Chen · Wei Wang
Poster
Thu 7:00 Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhroshekhar Ghosh · Krishna Balasubramanian · Xiaochuan Yang
Poster
Tue 9:00 Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh · Ehsan Hajiramezanali · Shahin Boluki · Mingyuan Zhou · Nick Duffield · Krishna Narayanan · Xiaoning Qian
Poster
Tue 9:00 Low-loss connection of weight vectors: distribution-based approaches
Ivan Anokhin · Dmitry Yarotsky
Poster
Tue 9:00 Scalable Deep Generative Modeling for Sparse Graphs
Hanjun Dai · Azade Nova · Yujia Li · Bo Dai · Dale Schuurmans
Poster
Wed 13:00 Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank · Thorsten Eisenhofer · Lea Schönherr · Asja Fischer · Dorothea Kolossa · Thorsten Holz