Yanbang Wang

According to our database, Yanbang Wang authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Microstructures and Accuracy of Graph Recall by Large Language Models.

Yanbang Wang, Hejie Cui, Jon M. Kleinberg

CoRR, 2024

From Graphs to Hypergraphs: Hypergraph Projection and its Remediation.

Yanbang Wang, Jon M. Kleinberg

CoRR, 2024

2023

On the Relationship Between Relevance and Conflict in Online Social Link Recommendations.

Yanbang Wang, Jon M. Kleinberg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning.

Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li

Proc. VLDB Endow., 2022

Supervised Hypergraph Reconstruction.

Yanbang Wang, Jon M. Kleinberg

CoRR, 2022

2021

EmotionCues: Emotion-Oriented Visual Summarization of Classroom Videos.

Haipeng Zeng, Xinhuan Shu, Yanbang Wang, Yong Wang, Liguo Zhang, Ting-Chuen Pong, Huamin Qu

IEEE Trans. Vis. Comput. Graph., 2021

TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks.

Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec

Proceedings of the WWW '21: The Web Conference 2021, 2021

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.

Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Revisit graph neural networks and distance encoding in a practical view.

Haoteng Yin, Yanbang Wang, Pan Li

CoRR, 2020

Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning.

Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec

CoRR, 2020

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning.

Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Using Detailed Access Trajectories for Learning Behavior Analysis.

Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

Transfer Learning using Representation Learning in Massive Open Online Courses.

Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019