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08/03/2023
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model
Different from the current node-level anomaly detection task, the goal o...
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04/11/2023
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Learning unbiased node representations for imbalanced samples in the gra...
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03/17/2023
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Graph Neural Networks (GNNs) are de facto solutions to structural data l...
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02/22/2023
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
Social Internet of Things (SIoT), a promising and emerging paradigm that...
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02/20/2023
Heterogeneous Social Event Detection via Hyperbolic Graph Representations
Social events reflect the dynamics of society and, here, natural disaste...
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02/18/2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
The Pretrained Foundation Models (PFMs) are regarded as the foundation f...
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02/13/2023
A Survey on Graph Neural Networks for Graph Summarization
As large-scale graphs become more widespread today, it exposes computati...
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02/10/2023
A Comprehensive Survey on Automatic Knowledge Graph Construction
Automatic knowledge graph construction aims to manufacture structured hu...
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01/28/2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Contrastive Learning (CL) has been proved to be a powerful self-supervis...
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01/14/2023
A Comprehensive Survey of Graph-level Learning
Graphs have a superior ability to represent relational data, like chemic...
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12/21/2022
Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social Networks
Users' involvement in creating and propagating news is a vital aspect of...
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12/04/2022
Brain Tumor Synthetic Data Generation with Adaptive StyleGANs
Generative models have been very successful over the years and have rece...
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10/02/2022
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Social networks are considered to be heterogeneous graph neural networks...
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09/04/2022
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
Integrating multiple online social networks (OSNs) has important implica...
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08/09/2022
Automating DBSCAN via Deep Reinforcement Learning
DBSCAN is widely used in many scientific and engineering fields because ...
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06/15/2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Clustering is a fundamental machine learning task which has been widely ...
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05/31/2022
Graph-level Neural Networks: Current Progress and Future Directions
Graph-structured data consisting of objects (i.e., nodes) and relationsh...
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05/24/2022
Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
The rising popularity of online social network services has attracted lo...
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04/24/2022
Embedding Knowledge for Document Summarization: A Survey
Knowledge-aware methods have boosted a range of Natural Language Process...
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04/17/2022
A Survey on Location-Driven Influence Maximization
Influence Maximization (IM), which aims to select a set of users from a ...
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04/15/2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Graph neural networks have emerged as a leading architecture for many gr...
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03/18/2022
Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis
Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) a...
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03/03/2022
Curvature Graph Generative Adversarial Networks
Generative adversarial network (GAN) is widely used for generalized and ...
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02/14/2022
Single-stage Rotate Object Detector via Two Points with Solar Corona Heatmap
Oriented object detection is a crucial task in computer vision. Current ...
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12/16/2021
Graph Structure Learning with Variational Information Bottleneck
Graph Neural Networks (GNNs) have shown promising results on a broad spe...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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10/15/2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Graph Neural Networks (GNNs) have been widely studied in various graph d...
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09/12/2021
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control
Adaptive traffic signal control plays a significant role in the construc...
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08/23/2021
Event Extraction by Associating Event Types and Argument Roles
Event extraction (EE), which acquires structural event knowledge from te...
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08/06/2021
Transferring Knowledge Distillation for Multilingual Social Event Detection
Recently published graph neural networks (GNNs) show promising performan...
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06/22/2021
A stochastic linearized proximal method of multipliers for convex stochastic optimization with expectation constraints
This paper considers the problem of minimizing a convex expectation func...
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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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06/10/2021
dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System
With the rising demand of smart mobility, ride-hailing service is gettin...
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02/26/2021
Task-adaptive Neural Process for User Cold-Start Recommendation
User cold-start recommendation is a long-standing challenge for recommen...
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01/21/2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Social events provide valuable insights into group social behaviors and ...
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01/20/2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Graph representation learning has attracted increasing research attentio...
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11/20/2020
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Knowledge Graph (KG) has attracted more and more companies' attention fo...
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10/23/2020
Graph Geometry Interaction Learning
While numerous approaches have been developed to embed graphs into eithe...
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09/14/2020
A Deep Framework for Cross-Domain and Cross-System Recommendations
Cross-Domain Recommendation (CDR) and Cross-System Recommendations (CSR)...
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06/19/2020
Opinion Maximization in Social Trust Networks
Social media sites are now becoming very important platforms for product...
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06/10/2020
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
With the rapid development of mobile Internet technology and the widespr...
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05/17/2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities
As communities represent similar opinions, similar functions, similar pu...
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06/18/2019
Deep Active Learning for Anchor User Prediction
Predicting pairs of anchor users plays an important role in the cross-ne...
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08/19/2018
TLR: Transfer Latent Representation for Unsupervised Domain Adaptation
Domain adaptation refers to the process of learning prediction models in...
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01/14/2018
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification
Brain Electroencephalography (EEG) classification is widely applied to a...
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01/05/2018
Dynamic Island Model based on Spectral Clustering in Genetic Algorithm
How to maintain relative high diversity is important to avoid premature ...
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01/05/2017
Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms
In distributed evolutionary algorithms, migration interval is used to de...
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12/12/2016
PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning
Positive instance detection, especially for these in positive bags (true...
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11/05/2015
