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08/17/2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning
Graph Active Learning (GAL), which aims to find the most informative nod...
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08/09/2023
TextPainter: Multimodal Text Image Generation withVisual-harmony and Text-comprehension for Poster Design
Text design is one of the most critical procedures in poster design, as ...
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08/02/2023
AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation
Advertising posters, a form of information presentation, combine visual ...
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06/15/2023
Hyperbolic Representation Learning: Revisiting and Advancing
The non-Euclidean geometry of hyperbolic spaces has recently garnered co...
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03/18/2023
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification
Extremely skewed label distributions are common in real-world node class...
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03/14/2023
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
The global trends of urbanization and increased personal mobility force ...
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03/13/2023
xASTNN: Improved Code Representations for Industrial Practice
The application of deep learning techniques in software engineering beco...
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12/04/2022
Hyperbolic Curvature Graph Neural Network
Hyperbolic space is emerging as a promising learning space for represent...
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11/15/2022
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation
Recent studies show that Graph Neural Networks(GNNs) are vulnerable and ...
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11/09/2022
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning
Learning an explainable classifier often results in low accuracy model o...
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11/08/2022
Hyperbolic Graph Representation Learning: A Tutorial
Graph-structured data are widespread in real-world applications, such as...
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10/30/2022
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting
In this technical report, we present our solutions to the Traffic4cast 2...
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09/02/2022
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation
Layout generation is a novel task in computer vision, which combines the...
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08/17/2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics
Spatiotemporal forecasting is an imperative topic in data science due to...
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07/19/2022
HICF: Hyperbolic Informative Collaborative Filtering
Considering the prevalence of the power-law distribution in user-item ne...
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06/17/2022
Boosting Factorization Machines via Saliency-Guided Mixup
Factorization machines (FMs) are widely used in recommender systems due ...
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05/19/2022
Learning-based AC-OPF Solvers on Realistic Network and Realistic Loads
Deep learning approaches for the Alternating Current-Optimal Power Flow ...
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04/27/2022
Discovering Representative Attribute-stars via Minimum Description Length
Graphs are a popular data type found in many domains. Numerous technique...
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04/18/2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization
In large-scale recommender systems, the user-item networks are generally...
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04/18/2022
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Given the ubiquitous existence of graph-structured data, learning the re...
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04/16/2022
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction
Link prediction is a key problem for network-structured data, attracting...
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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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01/21/2022
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning
Recently, hyperbolic space has risen as a promising alternative for semi...
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10/18/2021
Boosting Image Outpainting with Semantic Layout Prediction
The objective of image outpainting is to extend image current border and...
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07/08/2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space
Representation learning over temporal networks has drawn considerable at...
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06/09/2021
Scaling Up Graph Neural Networks Via Graph Coarsening
Scalability of graph neural networks remains one of the major challenges...
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05/07/2021
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks
Alarm root cause analysis is a significant component in the day-to-day t...
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09/17/2020
Spatio-Temporal Hybrid Graph Convolutional Network for Traffic Forecasting in Telecommunication Networks
Telecommunication networks play a critical role in modern society. With ...
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11/14/2019
Progressive Feature Polishing Network for Salient Object Detection
Feature matters for salient object detection. Existing methods mainly fo...
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02/10/2019
