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Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
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Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
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Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks
Accelerating Simulation-Based Influence Maximization via Bayesian Optimization
Zonghan Zhang, Zhiqian Chen
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Deep Representation Learning: Fundamentals, Technologies, Applications, and Open Challenges
Kourosh T Baghaei, Amirreza Payandeh, Pooya Fayyazsanavi, Zhiqian Chen, Somayeh Bakhtiari Ramezani, Shahram Rahimi
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Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
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Memetic algorithms for Spatial Partitioning problems
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
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XFlow: Benchmarking Flow Behaviors over Graphs
Zijian Zhang, Zonghan Zhang, Zhiqian Chen
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A Brief Review of Probability Theory and Linear Algebra
Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao
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Demystifying Graph Convolution with a Simple Concatenation
Zhiqian Chen, Zonghan Zhang
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Sampling-based techniques for designing school boundaries
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
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