most citedEasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime

Haoyu Geng, Hang Ruan, Runzhong Wang +4

Predictive combinatorial optimization, where the parameters of combinatorial optimization (CO) are unknown at the decision-making time, is the precise modeling of many real-world a…

cs.SI2023

HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling

Haoyu Geng, Guanjie Zheng, Zhengqing Han +2

Recently, the world has witnessed the most severe pandemic (COVID-19) in this century. Studies on epidemic prediction and simulation have received increasing attention. However, th…

cs.LG2023★ 8 cited

EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning

Chao Chen, Haoyu Geng, Nianzu Yang +2

Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics directly in continuous time domain for its flexibility. This paper aims to d…

cs.LG2023

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution

Chao Chen, Haoyu Geng, Gang Zeng +4

Inductive one-bit matrix completion is motivated by modern applications such as recommender systems, where new users would appear at test stage with the ratings consisting of only…

cs.IR2022★ 3 cited

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation

Chao Chen, Haoyu Geng, Nianzu Yang +4

User interests are usually dynamic in the real world, which poses both theoretical and practical challenges for learning accurate preferences from rich behavior data. Among existin…