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09/06/2023
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
Temporal Knowledge Graph (TKG) is an extension of traditional Knowledge ...
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08/16/2023
Deep Generative Imputation Model for Missing Not At Random Data
Data analysis usually suffers from the Missing Not At Random (MNAR) prob...
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04/25/2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
Temporal knowledge graph (TKG) reasoning aims to predict the future miss...
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01/01/2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
In this paper, we study the problem of MOOC quality evaluation which is ...
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12/26/2022
Toward Efficient Automated Feature Engineering
Automated Feature Engineering (AFE) refers to automatically generate and...
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12/25/2022
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations
Urban traffic speed prediction aims to estimate the future traffic speed...
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09/28/2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph contrastive learning (GCL) has been an emerging solution for graph...
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09/16/2022
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification
The peer merit review of research proposals has been the major mechanism...
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05/25/2022
Semi-supervised Drifted Stream Learning with Short Lookback
In many scenarios, 1) data streams are generated in real time; 2) labele...
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03/13/2022
Reinforced Imitative Graph Learning for Mobile User Profiling
Mobile user profiling refers to the efforts of extracting users' charact...
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12/26/2021
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation
Urban planning refers to the efforts of designing land-use configuration...
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10/08/2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
With the growth of the academic engines, the mining and analysis acquisi...
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09/22/2021
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning
Automated characterization of spatial data is a kind of critical geograp...
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09/14/2021
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
To advance the development of science and technology, research proposals...
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01/07/2021
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective
In this paper, we study the problem of mobile user profiling, which is a...
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09/16/2020
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
Job Title Benchmarking (JTB) aims at matching job titles with similar ex...
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09/07/2020
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce
Pre-trained language models such as BERT have achieved great success in ...
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08/27/2020
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
In this paper, we study the problem of balancing effectiveness and effic...
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08/26/2020
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection
While Water Treatment Networks (WTNs) are critical infrastructures for l...
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08/23/2020
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning
While Graph Neural Network (GNN) has shown superiority in learning node ...
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08/22/2020