Search Results for author: Yangyong Zhu

Found 7 papers, 6 papers with code

TIGER: Temporal Interaction Graph Embedding with Restarts

1 code implementation13 Feb 2023 Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu

However, due to the entangled temporal and structural dependencies, existing methods have to process the sequence of events chronologically and consecutively to ensure node representations are up-to-date.

Graph Embedding

ConsRec: Learning Consensus Behind Interactions for Group Recommendation

1 code implementation7 Feb 2023 Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu

Since group activities have become very common in daily life, there is an urgent demand for generating recommendations for a group of users, referred to as group recommendation task.

MULTI-VIEW LEARNING

RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation

1 code implementation12 Aug 2022 Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu

We propose a two-stage method, RuDi, that distills the knowledge of black-box teacher models into rule-based student models.

Fairness

Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning

3 code implementations22 Sep 2020 Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu

Instead of learning on the complete input graph data, with a novel data augmentation strategy, \textsc{Subg-Con} learns node representations through a contrastive loss defined based on subgraphs sampled from the original graph instead.

Data Augmentation Graph Representation Learning +2

ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting

no code implementations10 Aug 2020 Yi Xie, Yun Xiong, Yangyong Zhu

Most of the existing algorithms for traffic speed forecasting split spatial features and temporal features to independent modules, and then associate information from both dimensions.

Social and Information Networks

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