98 citations · 98 across the 4 of their papers we have counts for
4 papers
Supervised Hypergraph Reconstruction
Yanbang Wang, Jon Kleinberg
We study an issue commonly seen with graph data analysis: many real-world complex systems involving high-order interactions are best encoded by hypergraphs; however, their datasets…
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
Pan Li, Yanbang Wang, Hongwei Wang +1
Learning representations of sets of nodes in a graph is crucial for applications ranging from node-role discovery to link prediction and molecule classification. Graph Neural Netwo…
Transfer Learning using Representation Learning in Massive Open Online Courses
Mucong Ding, Yanbang Wang, Erik Hemberg +1
In a Massive Open Online Course (MOOC), predictive models of student behavior can support multiple aspects of learning, including instructor feedback and timely intervention. Ongoi…
Using Detailed Access Trajectories for Learning Behavior Analysis
Yanbang Wang, Nancy Law, Erik Hemberg +1
Student learning activity in MOOCs can be viewed from multiple perspectives. We present a new organization of MOOC learner activity data at a resolution that is in between the fine…