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09/21/2023
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
This paper studies the problem of traffic flow forecasting, which aims t...
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08/31/2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Graph classification, aiming at learning the graph-level representations...
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08/04/2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification
Graph classification is a crucial task in many real-world multimedia app...
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06/28/2023
Erasing-based lossless compression method for streaming floating-point time series
There are a prohibitively large number of floating-point time series dat...
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06/14/2023
Learning on Graphs under Label Noise
Node classification on graphs is a significant task with a wide range of...
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05/31/2023
Towards Semi-supervised Universal Graph Classification
Graph neural networks have pushed state-of-the-arts in graph classificat...
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05/18/2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training
Generative pre-trained Transformer (GPT) has demonstrates its great succ...
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04/14/2023
Learning Graph ODE for Continuous-Time Sequential Recommendation
Sequential recommendation aims at understanding user preference by captu...
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04/14/2023
A Diffusion model for POI recommendation
Next Point-of-Interest (POI) recommendation is a critical task in locati...
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04/11/2023
A Comprehensive Survey on Deep Graph Representation Learning
Graph representation learning aims to effectively encode high-dimensiona...
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03/29/2023
Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data
How to automatically synthesize natural-looking dance movements based on...
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03/27/2023
Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection
The full understanding of plasma disruption in tokamaks is currently lac...
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01/13/2023
Channel Measurement for Holographic MIMO: Benefits and Challenges of Spatial Oversampling
In this paper, the channel of an indoor holographic multiple-input multi...
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12/05/2022
2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints
Recently, human pose estimation mainly focuses on how to design a more e...
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11/13/2022
TIER-A: Denoising Learning Framework for Information Extraction
With the development of deep neural language models, great progress has ...
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10/21/2022
GLCC: A General Framework for Graph-level Clustering
This paper studies the problem of graph-level clustering, which is a nov...
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10/14/2022
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
Heterogeneous Information Network (HIN) is essential to study complicate...
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09/01/2022
Focus-Driven Contrastive Learniang for Medical Question Summarization
Automatic medical question summarization can significantly help the syst...
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08/20/2022
Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor
Predicting disruptions across different tokamaks is a great obstacle to ...
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06/28/2022
Taxonomy and evolution predicting using deep learning in images
Molecular and morphological characters, as important parts of biological...
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06/07/2022
Learning to Efficiently Propagate for Reasoning on Knowledge Graphs
Path-based methods are more appealing solutions than embedding methods f...
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05/21/2022
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
This paper studies semi-supervised graph classification, which is an imp...
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05/08/2022
End-to-End Rubbing Restoration Using Generative Adversarial Networks
Rubbing restorations are significant for preserving world cultural histo...
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09/09/2021
Graphine: A Dataset for Graph-aware Terminology Definition Generation
Precisely defining the terminology is the first step in scientific commu...
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07/27/2021
QoS-aware User Grouping Strategy for Downlink Multi-Cell NOMA Systems
In multi-cell non-orthogonal multiple access (NOMA) systems, designing a...
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07/01/2021
Orthonormal Product Quantization Network for Scalable Face Image Retrieval
Recently, deep hashing with Hamming distance metric has drawn increasing...
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03/26/2021
IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach
In this work, we propose a novel method for performing inertial aided na...
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03/17/2021
Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval
Deep supervised hashing for image retrieval has attracted researchers' a...
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01/21/2021
MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
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01/15/2021
QoS-Driven Video Uplinking in NOMA-Based IoT
In recent years, with the explosive growth of visual sensors and a large...
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12/14/2020
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Automatic blood vessel extraction from 3D medical images is crucial for ...
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10/11/2020
Partial FC: Training 10 Million Identities on a Single Machine
Face recognition has been an active and vital topic among computer visio...
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10/09/2020
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation
Analyzing the morphological attributes of blood vessels plays a critical...
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09/23/2020
MAFF-Net: Filter False Positive for 3D Vehicle Detection with Multi-modal Adaptive Feature Fusion
3D vehicle detection based on multi-modal fusion is an important task of...
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09/01/2020
RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation
We present RangeRCNN, a novel and effective 3D object detection framewor...
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08/16/2020
Association and Caching in Relay-Assisted mmWave Networks: From A Stochastic Geometry Perspective
Limited backhaul bandwidth and blockage effects are two main factors lim...
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07/15/2020
Augmented Bi-path Network for Few-shot Learning
Few-shot Learning (FSL) which aims to learn from few labeled training da...
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06/30/2020
EasyQuant: Post-training Quantization via Scale Optimization
The 8 bits quantization has been widely applied to accelerate network in...
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06/05/2020
Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration
The generative adversarial imitation learning (GAIL) has provided an adv...
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05/24/2020
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications
Model-Agnostic Meta-Learning (MAML), a model-agnostic meta-learning meth...
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04/11/2020
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
Mortality prediction of diverse rare diseases using electronic health re...
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03/28/2020
A Graph to Graphs Framework for Retrosynthesis Prediction
A fundamental problem in computational chemistry is to find a set of rea...
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01/26/2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Molecular graph generation is a fundamental problem for drug discovery a...
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12/25/2019
Learning to Answer Ambiguous Questions with Knowledge Graph
In the task of factoid question answering over knowledge base, many ques...
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11/12/2019
Predictive Multi-level Patient Representations from Electronic Health Records
The advent of the Internet era has led to an explosive growth in the Ele...
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11/09/2019
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction
Dependency context-based word embedding jointly learns the representatio...
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10/31/2019
Learning to Customize Language Model for Generation-based dialog systems
Personalized conversation systems have received increasing attention rec...
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10/14/2019
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation
Sepsis is a life-threatening condition that seriously endangers millions...
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09/13/2019
Towards Open-Domain Named Entity Recognition via Neural Correction Models
Named Entity Recognition (NER) plays an important role in a wide range o...
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09/11/2019