Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...

Imagine standing atop a mountain, gazing at the vast landscape below, trying to make sense of the world around you. For centuries, explorers relied on such vantage points to map their surroundings.

Break out the White Castle because Kal Penn and John Cho are expected to return for another “Harold & Kumar” adventure. A fourth movie is in the works with the original “Harold & Kumar” writers Jon ...

Jon Hurwitz, Hayden Schlossberg and Josh Heald, the creators of Netflix’s hit Karate Kid sequel series Cobra Kai, are developing a new Harold & Kumar film for Lionsgate‘s Mandate Pictures, Deadline ...

The clock started ticking when Michelle Mazzola’s son, Guy, was diagnosed with autism before his second birthday. Doctors told her the sooner Guy received therapy for his nonverbal communication and ...

Abstract: Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model ...

Proceedings of The Eighth Annual Conference on Machine Learning and Systems Graph neural networks (GNNs), an emerging class of machine learning models for graphs, have gained popularity for their ...