1 School of Computer Engineering, Suzhou Polytechnic University, Suzhou, China 2 College of Science Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China The proliferation of digital ...
Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...
The identification of wheat infections has always been a considerable problem in agricultural forecasting. This paper presents an automated classification framework for wheat illnesses utilising ...
@misc{sun2025gracegenerativerepresentationlearning, title={GRACE: Generative Representation Learning via Contrastive Policy Optimization}, author={Jiashuo Sun and ...
Abstract: Contrastive learning, as an efficient unsupervised learning, has been extensively studied for improving graph neural network (GNN) in graph-structured data mining. With the wider application ...
I will not write on the blackboard 100 times. I will not write on the blackboard 100 times. I will not write on the blackboard 100 times. Nor will any of us — if that classic after-school punishment ...
When I started my first degree fresh out of high school, I was flooded with advice about what to study and what career path to follow. The most significant piece of guidance was from one of my ...
The idea of an animal that can count or do math might sound like something out of a viral news story or TikTok video. But a sense of quantity, sometimes called "numerosity," appears across a ...
Many animals have a sense of quantity, but they don't count or do math the way humans do. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. The ...
School of Computer Science and Technology, Hainan University, Haikou 570228, China Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu ...
As one of the most crucial topics in the recommendation system field, Point-of-Interest (POI) recommendation aims to recommending potential interesting POIs to users. Recently, graph neural networks ...
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