Summary of Diffusion-based Neural Network Weights Generation, by Bedionita Soro et al.
Diffusion-Based Neural Network Weights Generationby Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong,…
Diffusion-Based Neural Network Weights Generationby Bedionita Soro, Bruno Andreis, Hayeon Lee, Wonyong Jeong, Song Chong,…
Autoencoder-based General Purpose Representation Learning for Customer Embeddingby Jan Henrik Bertrand, David B. Hoffmann, Jacopo…
Representation learning in multiplex graphs: Where and how to fuse information?by Piotr Bielak, Tomasz KajdanowiczFirst…
2D Matryoshka Sentence Embeddingsby Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing LiFirst submitted…
Contextual Molecule Representation Learning from Chemical Reaction Knowledgeby Han Tang, Shikun Feng, Bicheng Lin, Yuyan…
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphsby Yufei He, Yuan Sui, Xiaoxin…
Implicit Causal Representation Learning via Switchable Mechanismsby Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte,…
LiGNN: Graph Neural Networks at LinkedInby Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng…
Fusion of Diffusion Weighted MRI and Clinical Data for Predicting Functional Outcome after Acute Ischemic…
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentationby Xinjian Zhao, Liang Zhang, Yang Liu, Ruocheng…