1.1k citations · 5.5k across the 100 of their papers we have counts for
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Efficient Dynamic Graph Representation Learning at Scale
Xinshi Chen, Yan Zhu, Haowen Xu +4
Dynamic graphs with ordered sequences of events between nodes are prevalent in real-world industrial applications such as e-commerce and social platforms. However, representation l…
Multi-task Learning of Order-Consistent Causal Graphs
Xinshi Chen, Haoran Sun, Caleb Ellington +2
We consider the problem of discovering related Gaussian directed acyclic graphs (DAGs), where the involved graph structures share a consistent causal order and sparse unions of…
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu, Sungsoo Ahn, Le Song +1
We consider the problem of searching an input maximizing a black-box objective function given a static dataset of input-output queries. A popular approach to solving this problem i…
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling
Yu-Ying Liu, Alexander Moreno, Maxwell A. Xu +7
The Continuous-Time Hidden Markov Model (CT-HMM) is an attractive approach to modeling disease progression due to its ability to describe noisy observations arriving irregularly in…
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao, Karan Samel, Binghong Chen +1
Programs, consisting of semantic and structural information, play an important role in the communication between humans and agents. Towards learning general program executors to un…
GNN is a Counter? Revisiting GNN for Question Answering
Kuan Wang, Yuyu Zhang, Diyi Yang +2
Question Answering (QA) has been a long-standing research topic in AI and NLP fields, and a wealth of studies have been conducted to attempt to equip QA systems with human-level re…