Shirui Pan
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Computer Science
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(Suggest an Edit or Addition)Shirui Pan's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A Comprehensive Survey on Graph Neural Networks (2019) (4288)
- A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2020) (775)
- Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019) (752)
- DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding (2017) (626)
- Adversarially Regularized Graph Autoencoder for Graph Embedding (2018) (545)
- Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks (2020) (433)
- Tri-Party Deep Network Representation (2016) (364)
- MGAE: Marginalized Graph Autoencoder for Graph Clustering (2017) (248)
- Attributed Graph Clustering: A Deep Attentional Embedding Approach (2019) (221)
- Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering (2016) (208)
- Learning Graph Embedding With Adversarial Training Methods (2019) (163)
- Graph Self-Supervised Learning: A Survey (2021) (137)
- Boosting for Multi-Graph Classification (2015) (106)
- Supervised Learning for Suicidal Ideation Detection in Online User Content (2018) (102)
- Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications (2019) (98)
- A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning (2021) (94)
- Self-adaptive attribute weighting for Naive Bayes classification (2015) (88)
- Graph Learning: A Survey (2021) (88)
- Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network (2019) (78)
- Learning Private Neural Language Modeling with Attentive Aggregation (2018) (74)
- Unsupervised Domain Adaptive Graph Convolutional Networks (2020) (71)
- Time series feature learning with labeled and unlabeled data (2019) (70)
- Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (2021) (70)
- Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification (2015) (70)
- Binarized attributed network embedding (2018) (66)
- Multi-Instance Learning with Discriminative Bag Mapping (2018) (65)
- Multiple Structure-View Learning for Graph Classification (2018) (64)
- Social Recommendation With Evolutionary Opinion Dynamics (2020) (64)
- Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning (2020) (63)
- Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications (2018) (59)
- Task Sensitive Feature Exploration and Learning for Multitask Graph Classification (2017) (59)
- Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization (2020) (56)
- Discrete Network Embedding (2018) (55)
- Graph stream classification using labeled and unlabeled graphs (2013) (55)
- Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning (2021) (53)
- Positive and Unlabeled Multi-Graph Learning (2017) (52)
- Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification (2016) (50)
- A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation (2018) (49)
- SODE: Self-Adaptive One-Dependence Estimators for classification (2016) (48)
- Exploiting Implicit Influence From Information Propagation for Social Recommendation (2020) (48)
- Active Discriminative Network Representation Learning (2018) (47)
- Graph Geometry Interaction Learning (2020) (47)
- An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals (2019) (45)
- A Relation-Specific Attention Network for Joint Entity and Relation Extraction (2020) (45)
- Multi-graph-view Learning for Graph Classification (2014) (44)
- Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning (2020) (43)
- CogBoost: Boosting for Fast Cost-Sensitive Graph Classification (2015) (42)
- Finding the best not the most: regularized loss minimization subgraph selection for graph classification (2015) (42)
- Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network (2018) (40)
- Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning (2020) (39)
- Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method (2017) (37)
- Multi-Graph Learning with Positive and Unlabeled Bags (2014) (35)
- Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages (2022) (35)
- Graph Classification with Imbalanced Class Distributions and Noise (2013) (32)
- DAGCN: Dual Attention Graph Convolutional Networks (2019) (32)
- Towards Unsupervised Deep Graph Structure Learning (2022) (32)
- A New Pulse Resonant MOSFET Gate Driver with Efficient Energy Recovery (2006) (32)
- Task-adaptive Neural Process for User Cold-Start Recommendation (2021) (31)
- Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization (2021) (31)
- CFOND: Consensus Factorization for Co-Clustering Networked Data (2019) (31)
- iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients (2021) (30)
- One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting (2020) (29)
- Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning (2020) (26)
- A highly stretchable strain sensor based on CNT/graphene/fullerene-SEBS (2020) (26)
- Multivariate Relations Aggregation Learning in Social Networks (2020) (26)
- Relation Structure-Aware Heterogeneous Graph Neural Network (2019) (26)
- Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement (2020) (26)
- Distributed Feature Selection for Big Data Using Fuzzy Rough Sets (2020) (25)
- Adversarially Regularized Graph Autoencoder (2018) (25)
- Dynamic classifier ensemble for positive unlabeled text stream classification (2012) (25)
- Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks (2020) (24)
- Domain-Adversarial Graph Neural Networks for Text Classification (2019) (24)
- Anomaly Detection in Dynamic Graphs via Transformer (2021) (24)
- Bayesian personalized ranking based on multiple-layer neighborhoods (2021) (23)
- Multi-graph-view subgraph mining for graph classification (2016) (23)
- Highly sensitive, reliable and flexible piezoresistive pressure sensors based on graphene-PDMS @ sponge (2020) (23)
- Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels (2021) (22)
- Classifier Ensemble for Uncertain Data Stream Classification (2010) (21)
- ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning (2021) (21)
- Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation (2020) (21)
- Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification (2021) (20)
- Towards large-scale social networks with online diffusion provenance detection (2017) (19)
- Heterogeneous Information Network Embedding based Personalized Query-Focused Astronomy Reference Paper Recommendation (2018) (18)
- Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism (2021) (18)
- Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications (2021) (18)
- Graph Stochastic Neural Networks for Semi-supervised Learning (2020) (18)
- One-Shot Neural Architecture Search via Novelty Driven Sampling (2020) (18)
- Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts (2018) (18)
- Positive-unlabeled learning in bioinformatics and computational biology: a brief review (2021) (17)
- Influence Spread in Geo-Social Networks: A Multiobjective Optimization Perspective (2019) (17)
- Identify Topic Relations in Scientific Literature Using Topic Modeling (2019) (16)
- Detecting Suicidal Ideation with Data Protection in Online Communities (2019) (16)
- Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning (2021) (16)
- Low-Bit Quantization for Attributed Network Representation Learning (2019) (16)
- FraudNE: a Joint Embedding Approach for Fraud Detection (2018) (16)
- Classifying networked text data with positive and unlabeled examples (2016) (15)
- Cost-Sensitive Parallel Learning Framework for Insurance Intelligence Operation (2019) (14)
- Clustering social audiences in business information networks (2020) (14)
- Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction (2021) (14)
- Learning Graph Neural Networks with Positive and Unlabeled Nodes (2021) (14)
- OpenWGL: Open-World Graph Learning (2020) (14)
- Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination (2022) (14)
- Deep neighbor-aware embedding for node clustering in attributed graphs (2022) (14)
- Ensemble of multiple descriptors for automatic image annotation (2010) (13)
- Cross-Domain Deep Learning Approach For Multiple Financial Market Prediction (2018) (13)
- GSSNN: Graph Smoothing Splines Neural Networks (2020) (13)
- Boosting for graph classification with universum (2016) (13)
- Dual instance and attribute weighting for Naive Bayes classification (2014) (13)
- Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning (2019) (12)
- A Hybrid User Experience Evaluation Method for Mobile Games (2018) (12)
- Low-Rank and Sparse Matrix Factorization for Scientific Paper Recommendation in Heterogeneous Network (2018) (12)
- Measuring distance-based semantic similarity using meronymy and hyponymy relations (2018) (12)
- Multi-Graph-View Learning for Complicated Object Classification (2015) (12)
- Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records (2019) (11)
- Dual Space Graph Contrastive Learning (2022) (11)
- Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning (2020) (11)
- Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion (2019) (11)
- Continuous top-k query for graph streams (2012) (11)
- Medical Code Assignment with Gated Convolution and Note-Code Interaction (2020) (11)
- Knowledge Transferring via Model Aggregation for Online Social Care. (2019) (10)
- CGStream: continuous correlated graph query for data streams (2012) (10)
- Multi-level graph learning network for hyperspectral image classification (2022) (10)
- Adversarial Action Data Augmentation for Similar Gesture Action Recognition (2019) (9)
- Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks (2021) (9)
- Deep learning data augmentation for Raman spectroscopy cancer tissue classification (2021) (9)
- Exploring Features for Complicated Objects: Cross-View Feature Selection for Multi-Instance Learning (2014) (9)
- Monash-Summ@LongSumm 20 SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline (2020) (9)
- Network-based methods for gene function prediction. (2021) (9)
- TraverseNet: Unifying Space and Time in Message Passing (2021) (9)
- Going Deep: Graph Convolutional Ladder-Shape Networks (2020) (8)
- GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous Network (2021) (8)
- Attribute weighting: How and when does it work for Bayesian Network Classification (2014) (8)
- Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming (2021) (8)
- Co-clustering enterprise social networks (2016) (8)
- Hypergraph Convolutional Network for Group Recommendation (2021) (7)
- Universal network representation for heterogeneous information networks (2017) (7)
- IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling (2021) (7)
- Label Embedding with Partial Heterogeneous Contexts (2018) (7)
- Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering (2021) (7)
- One-Shot Learning-Based Animal Video Segmentation (2022) (7)
- Leveraging Information Bottleneck for Scientific Document Summarization (2021) (7)
- Ultrahyperbolic Knowledge Graph Embeddings (2022) (6)
- Multi-document summarization based on sentence cluster using non-negative matrix factorization (2017) (6)
- Query-oriented citation recommendation based on network correlation (2018) (6)
- Locally Weighted Learning: How and When Does it Work in Bayesian Networks? (2015) (6)
- Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting (2021) (6)
- SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline (2020) (5)
- Cost-sensitive Hybrid Neural Networks for Heterogeneous and Imbalanced Data (2018) (5)
- Fine-grained Attributed Graph Clustering (2022) (5)
- Graph Ladder Networks for Network Classification (2017) (5)
- Deep Learning for Time Series Anomaly Detection: A Survey (2022) (5)
- Discrete embedding for attributed graphs (2021) (5)
- BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule (2021) (5)
- Multi-Graph Fusion Networks for Urban Region Embedding (2022) (4)
- Simple and Efficient Heterogeneous Graph Neural Network (2022) (4)
- CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning (2022) (4)
- Learning Graph Representations With Maximal Cliques (2021) (4)
- Unifying Graph Contrastive Learning with Flexible Contextual Scopes (2022) (4)
- Exploring Relational Semantics for Inductive Knowledge Graph Completion (2022) (4)
- Gated relational stacked denoising autoencoder with localized author embedding for global citation recommendation (2021) (4)
- Cyclic label propagation for graph semi-supervised learning (2020) (3)
- From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach (2022) (3)
- Learning multi-level weight-centric features for few-shot learning (2019) (3)
- OpenWGL: open-world graph learning for unseen class node classification (2021) (3)
- Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing (2020) (3)
- Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating (2022) (3)
- Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network (2022) (3)
- PUMPNET: a deep learning approach to pump operation detection (2021) (3)
- Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs (2022) (3)
- Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective (2021) (3)
- Knowledge graph representation and reasoning (2021) (3)
- GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection (2022) (3)
- Top-k correlated subgraph query for data streams (2012) (2)
- Pseudo-Riemannian Graph Convolutional Networks (2021) (2)
- Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification (2020) (2)
- Semi-Riemannian Graph Convolutional Networks (2021) (2)
- Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain (2021) (2)
- A Survey of Community Detection Approaches: From Statistical Modeling to Deep Representation (2021) (2)
- MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation (2022) (2)
- ConTIG: Continuous Representation Learning on Temporal Interaction Graphs (2021) (2)
- Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation (2022) (2)
- Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure (2020) (2)
- Graph Neural Network for Local Corruption Recovery (2022) (1)
- Robust Graph Representation Learning for Local Corruption Recovery (2022) (1)
- Manifold Approximation and Projection by Maximizing Graph Information (2021) (1)
- Online unsupervised cross-view discrete hashing for large-scale retrieval (2022) (1)
- Task Scheduling in Three-Dimensional Spatial Crowdsourcing: A Social Welfare Perspective (2022) (1)
- Direct Discriminative Bag Mapping for Multi-Instance Learning (2016) (1)
- Guest Editorial: Knowledge Graph Representation and Reasoning (2021) (1)
- A Self-Supervised Learning Framework for Sequential Recommendation (2021) (1)
- Efficient Novelty-Driven Neural Architecture Search (2019) (1)
- Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion (2019) (0)
- Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction (2021) (0)
- gEBoost: Noisy and Imbalanced Graph Stream Classification (2014) (0)
- Geometry Contrastive Learning on Heterogeneous Graphs (2022) (0)
- Neighbor Contrastive Learning on Learnable Graph Augmentation (2023) (0)
- PUMPNET: a deep learning approach to pump operation detection (2021) (0)
- Guest Editorial: Graph-powered machine learning in future-generation computing systems (2022) (0)
- Complex graph stream mining (2015) (0)
- Boosting for graph classification with universum (2016) (0)
- Graph representation learning based on deep generative gaussian mixture models (2022) (0)
- Relations in Scientific Literature Using Topic Modeling (2019) (0)
- CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing (2023) (0)
- ANEMONE (2021) (0)
- Predicting Best-Selling New Products in a Major Promotion Campaign Through Graph Convolutional Networks. (2022) (0)
- IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing (2020) (0)
- VR-GNN: Variational Relation Vector Graph Neural Network for Modeling both Homophily and Heterophily (2022) (0)
- Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases (2015) (0)
- Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care (2019) (0)
- Time series feature learning with lab ele d and unlab ele d data (2019) (0)
- Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract) (2021) (0)
- Geometric Relational Embeddings: A Survey (2023) (0)
- IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments (2019) (0)
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