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09/19/2023
Semi-supervised Domain Adaptation in Graph Transfer Learning
As a specific case of graph transfer learning, unsupervised domain adapt...
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08/31/2023
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
Accurate traffic forecasting at intersections governed by intelligent tr...
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07/14/2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms
Machine learning algorithms have become ubiquitous in a number of applic...
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07/05/2023
Generative Job Recommendations with Large Language Model
The rapid development of online recruitment services has encouraged the ...
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07/03/2023
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
In today's competitive and fast-evolving business environment, it is a c...
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06/30/2023
Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction
Document-level event extraction is a long-standing challenging informati...
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06/29/2023
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective
Feature transformation aims to reconstruct an effective representation s...
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06/21/2023
Spatial Heterophily Aware Graph Neural Networks
Graph Neural Networks (GNNs) have been broadly applied in many urban app...
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06/20/2023
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction
Accurate Urban SpatioTemporal Prediction (USTP) is of great importance t...
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06/16/2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Contrastive learning (CL) has become the de-facto learning paradigm in s...
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06/16/2023
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification
Class imbalance is the phenomenon that some classes have much fewer inst...
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06/15/2023
Multi-Temporal Relationship Inference in Urban Areas
Finding multiple temporal relationships among locations can benefit a bu...
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05/31/2023
A Survey on Large Language Models for Recommendation
Large Language Models (LLMs) have emerged as powerful tools in the field...
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05/25/2023
Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback
Generating and editing a 3D scene guided by natural language poses a cha...
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05/18/2023
Cross-modality Data Augmentation for End-to-End Sign Language Translation
End-to-end sign language translation (SLT) aims to convert sign language...
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05/18/2023
Preference or Intent? Double Disentangled Collaborative Filtering
People usually have different intents for choosing items, while their pr...
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05/18/2023
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph
Recent years have witnessed the rapid development of heterogeneous graph...
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04/29/2023
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic
The outbreak of the COVID-19 pandemic has had an unprecedented impact on...
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03/24/2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Recent research endeavors have shown that combining neural radiance fiel...
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01/05/2023
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
Although remarkable progress on the neural table-to-text methods has bee...
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11/26/2022
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Urban villages (UVs) refer to the underdeveloped informal settlement fal...
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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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09/16/2022
Self-Optimizing Feature Transformation
Feature transformation aims to extract a good representation (feature) s...
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09/16/2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
As a successful approach to self-supervised learning, contrastive learni...
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09/16/2022
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity
While self-supervised learning techniques are often used to mining impli...
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06/30/2022
Customized Conversational Recommender Systems
Conversational recommender systems (CRS) aim to capture user's current i...
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06/30/2022
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction
Traffic demand forecasting by deep neural networks has attracted widespr...
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06/29/2022
Interventional Contrastive Learning with Meta Semantic Regularizer
Contrastive learning (CL)-based self-supervised learning models learn vi...
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06/28/2022
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
Recent studies have shown great promise in applying graph neural network...
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05/19/2022
Detect Professional Malicious User with Metric Learning in Recommender Systems
In e-commerce, online retailers are usually suffering from professional ...
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05/12/2022
Feature and Instance Joint Selection: A Reinforcement Learning Perspective
Feature selection and instance selection are two important techniques of...
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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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03/10/2022
MetAug: Contrastive Learning via Meta Feature Augmentation
What matters for contrastive learning? We argue that contrastive learnin...
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03/08/2022
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
Unsupervised domain adaptation (UDA) requires source domain samples with...
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02/28/2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Graph neural networks generalize conventional neural networks to graph-s...
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01/19/2022
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams
In this paper, we focus on the problem of modeling dynamic geo-human int...
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12/31/2021
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification
Human mobility data accumulated from Point-of-Interest (POI) check-ins p...
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12/23/2021
Learning to Walk with Dual Agents for Knowledge Graph Reasoning
Graph walking based on reinforcement learning (RL) has shown great succe...
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12/02/2021
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis
Earnings call (EC), as a periodic teleconference of a publicly-traded co...
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12/01/2021
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment
Motivated by the success of pre-trained language models such as BERT in ...
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11/11/2021
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
Nowadays, Knowledge graphs (KGs) have been playing a pivotal role in AI-...
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10/24/2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
As one of the most popular generative models, Variational Autoencoder (V...
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10/22/2021
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning
The task of image captioning aims to generate captions directly from ima...
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09/24/2021
Adversarial Neural Trip Recommendation
Trip recommender system, which targets at recommending a trip consisting...
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09/24/2021
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction
Recently many efforts have been devoted to applying graph neural network...
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09/06/2021
Information Theory-Guided Heuristic Progressive Multi-View Coding
Multi-view representation learning captures comprehensive information fr...
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07/21/2021
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Drug discovery often relies on the successful prediction of protein-liga...
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07/12/2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
Real estate appraisal refers to the process of developing an unbiased op...
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06/14/2021
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Anomalies represent rare observations (e.g., data records or events) tha...
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05/24/2021