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06/21/2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
With a long history of traditional Graph Anomaly Detection (GAD) algorit...
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05/11/2023
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
Entity alignment is the task of identifying corresponding entities acros...
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04/10/2023
Missing Data Imputation with Graph Laplacian Pyramid Network
Data imputation is a prevalent and important task due to the ubiquitousn...
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03/12/2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
In this work, we present the Bregman Alternating Projected Gradient (BAP...
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01/30/2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
Graph alignment, which aims at identifying corresponding entities across...
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01/17/2023
A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd
Mobile CrowdSensing (MCS), through employing considerable workers to sen...
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11/30/2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Graph neural networks (GNNs) are popular weapons for modeling relational...
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05/31/2022
Rethinking Graph Neural Networks for Anomaly Detection
Graph Neural Networks (GNNs) are widely applied for graph anomaly detect...
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05/17/2022
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning
In this paper, we study the design and analysis of a class of efficient ...
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04/29/2022
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
With the rise of telemedicine, the task of developing Dialogue Systems f...
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07/03/2021
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks
Previous math word problem solvers following the encoder-decoder paradig...
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05/30/2021
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Automatic math problem solving has recently attracted increasing attenti...
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12/22/2020
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Human doctors with well-structured medical knowledge can diagnose a dise...
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10/15/2020
MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System
Developing conversational agents to interact with patients and provide p...
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02/04/2020
Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation
Target-guided open-domain conversation aims to proactively and naturally...
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05/28/2019
Target-Guided Open-Domain Conversation
Many real-world open-domain conversation applications have specific goal...
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01/30/2019