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A Survey on Embedding Dynamic Graphs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4612-4438-7_1openalex-snapshot
Matrix Perturbation Theory
inferredcites →https://doi.org/10.1007/978-3-030-05411-3_37openalex-snapshot
EvoNRL: Evolving Network Representation Learning Based on Random Walks
inferredcites →https://doi.org/10.1007/978-3-030-18576-3_32openalex-snapshot
DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks
inferredcites →https://doi.org/10.1007/978-3-030-43823-4_32openalex-snapshot
Dynamic Joint Variational Graph Autoencoders
inferredcites →https://doi.org/10.1007/978-3-030-43823-4_34openalex-snapshot
MHDNE: Network Embedding Based on Multivariate Hawkes Process
inferredcites →https://doi.org/10.1007/978-3-030-46150-8_32openalex-snapshot
Triangle Completion Time Prediction Using Time-Conserving Embedding
inferredcites →https://doi.org/10.1007/978-3-319-46128-1_25openalex-snapshot
Link Prediction in Dynamic Networks Using Graphlet
inferredcites →https://doi.org/10.1007/978-3-319-73198-8_10openalex-snapshot
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction
inferredcites →https://doi.org/10.1007/bf02289026openalex-snapshot
A New Status Index Derived from Sociometric Analysis
inferredcites →https://doi.org/10.1007/s13278-018-0537-7openalex-snapshot
Stream graphs and link streams for the modeling of interactions over time
inferredcites →https://doi.org/10.1007/s41109-019-0169-5openalex-snapshot
Node embeddings in dynamic graphs
inferredcites →https://doi.org/10.1016/j.knosys.2018.03.022openalex-snapshot
Graph embedding techniques, applications, and performance: A survey
inferredcites →https://doi.org/10.1016/j.knosys.2019.06.024openalex-snapshot
dyngraph2vec: Capturing network dynamics using dynamic graph representation learning
inferredcites →https://doi.org/10.1016/j.knosys.2022.109124openalex-snapshot
Efficiently embedding dynamic knowledge graphs
inferredcites →https://doi.org/10.1016/j.neucom.2019.05.038openalex-snapshot
Lifelong representation learning in dynamic attributed networks
inferredcites →https://doi.org/10.1016/s0378-8733(03)00009-1openalex-snapshot
Friends and neighbors on the Web
inferredcites →https://doi.org/10.1017/s0269888918000024openalex-snapshot
Relational time series forecasting
inferredcites →https://doi.org/10.1038/s41598-020-63221-2openalex-snapshot
weg2vec: Event embedding for temporal networks
inferredcites →https://doi.org/10.1080/17445760.2012.668546openalex-snapshot
Time-varying graphs and dynamic networks
inferredcites →https://doi.org/10.1109/access.2019.2942221openalex-snapshot
DHNE: Network Representation Learning Method for Dynamic Heterogeneous Networks
inferredcites →https://doi.org/10.1109/access.2021.3082932openalex-snapshot
Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
inferredcites →https://doi.org/10.1109/asonam.2018.8508272openalex-snapshot
Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction
inferredcites →https://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.63openalex-snapshot
Evaluating Link Prediction Accuracy in Dynamic Networks with Added and Removed Edges
inferredcites →https://doi.org/10.1109/bigdata.2018.8621910openalex-snapshot
dynnode2vec: Scalable Dynamic Network Embedding
inferredcites →https://doi.org/10.1109/bigdata.2018.8622636openalex-snapshot
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
inferredcites →https://doi.org/10.1109/dsaa.2015.7344810openalex-snapshot
A unifying model for representing time-varying graphs
inferredcites →https://doi.org/10.1109/dsaa.2019.00026openalex-snapshot
Dynamic Graph Embedding via LSTM History Tracking
inferredcites →https://doi.org/10.1109/ecc.2016.7810580openalex-snapshot
Graph structure-preserving model reduction of linear network systems
inferredcites →https://doi.org/10.1109/iccv.2017.200openalex-snapshot
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection
inferredcites →https://doi.org/10.1109/icdm.2017.57openalex-snapshot
Topological Recurrent Neural Network for Diffusion Prediction
inferredcites →https://doi.org/10.1109/icdm.2019.00121openalex-snapshot
DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums
inferredcites →https://doi.org/10.1109/icdm.2019.00181openalex-snapshot
Adaptive Neural Network for Node Classification in Dynamic Networks
inferredcites →https://doi.org/10.1109/ijcnn.2019.8852247openalex-snapshot
Dynamic Network Embedding by Semantic Evolution
inferredcites →https://doi.org/10.1109/infocom.2019.8737631openalex-snapshot
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
inferredcites →https://doi.org/10.1109/jproc.2015.2483592openalex-snapshot
A Review of Relational Machine Learning for Knowledge Graphs
inferredcites →https://doi.org/10.1109/mci.2020.3039072openalex-snapshot
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes]
inferredcites →https://doi.org/10.1109/tbdata.2018.2850013openalex-snapshot
Network Representation Learning: A Survey
inferredcites →https://doi.org/10.1109/tits.2019.2935152openalex-snapshot
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
inferredcites →https://doi.org/10.1109/tkde.2008.112openalex-snapshot
Unsupervised Multiway Data Analysis: A Literature Survey
inferredcites →https://doi.org/10.1109/tkde.2016.2591009openalex-snapshot
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks
inferredcites →https://doi.org/10.1109/tkde.2017.2754499openalex-snapshot
Knowledge Graph Embedding: A Survey of Approaches and Applications
inferredcites →https://doi.org/10.1109/tkde.2018.2807452openalex-snapshot
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
inferredcites →https://doi.org/10.1109/tkde.2018.2849727openalex-snapshot
A Survey on Network Embedding
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tnnls.2020.3004626openalex-snapshot
Modeling Event Propagation via Graph Biased Temporal Point Process
inferredcites →https://doi.org/10.1109/tsmc.2019.2932913openalex-snapshot
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
inferredcites →https://doi.org/10.1140/epjds/s13688-021-00277-8openalex-snapshot
DyANE: Dynamics-aware node embedding for temporal networks
inferredcites →https://doi.org/10.1145/1921632.1921636openalex-snapshot
Temporal Link Prediction Using Matrix and Tensor Factorizations
inferredcites →https://doi.org/10.1145/2433396.2433479openalex-snapshot
Modeling dynamic behavior in large evolving graphs
inferredcites →https://doi.org/10.1145/2645710.2645758openalex-snapshot
Modeling the dynamics of user preferences in coupled tensor factorization
inferredcites →https://doi.org/10.1145/2939672.2939753openalex-snapshot
Structural Deep Network Embedding
inferredcites →https://doi.org/10.1145/2988450.2988451openalex-snapshot
Recurrent Coevolutionary Latent Feature Processes for Continuous-Time Recommendation
inferredcites →https://doi.org/10.1145/3018661.3018669openalex-snapshot
Temporally Factorized Network Modeling for Evolutionary Network Analysis
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3132847.3132919openalex-snapshot
Attributed Network Embedding for Learning in a Dynamic Environment
inferredcites →https://doi.org/10.1145/3184558.3186931openalex-snapshot
Attention Network for Information Diffusion Prediction
inferredcites →https://doi.org/10.1145/3184558.3191526openalex-snapshot
Continuous-Time Dynamic Network Embeddings
inferredcites →https://doi.org/10.1145/3219819.3220054openalex-snapshot
Embedding Temporal Network via Neighborhood Formation
inferredcites →https://doi.org/10.1145/3289600.3291029openalex-snapshot
A General View for Network Embedding as Matrix Factorization
inferredcites →https://doi.org/10.1145/3292500.3330919openalex-snapshot
Learning Dynamic Context Graphs for Predicting Social Events
inferredcites →https://doi.org/10.1145/3292500.3332298openalex-snapshot
Modeling and Applications for Temporal Point Processes
inferredcites →https://doi.org/10.1145/3308560.3316581openalex-snapshot
Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models
inferredcites →https://doi.org/10.1145/3308560.3316585openalex-snapshot
Real-Time Streaming Graph Embedding Through Local Actions
inferredcites →https://doi.org/10.1145/3341161.3342872openalex-snapshot
Predictive temporal embedding of dynamic graphs
inferredcites →https://doi.org/10.1145/3357384.3357943openalex-snapshot
Temporal Network Embedding with Micro- and Macro-dynamics
inferredcites →https://doi.org/10.1145/3357384.3358043openalex-snapshot
Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior
inferredcites →https://doi.org/10.1145/3357384.3358155openalex-snapshot
Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks
inferredcites →https://doi.org/10.1145/3397271.3401092openalex-snapshot
Streaming Graph Neural Networks
inferredcites →https://doi.org/10.1145/956750.956769openalex-snapshot
Maximizing the spread of influence through a social network
inferredcites →https://doi.org/10.13140/rg.2.2.18110.38725openalex-snapshot
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes
inferredcites →https://doi.org/10.1371/journal.pone.0247936openalex-snapshot
Learning temporal attention in dynamic graphs with bilinear interactions
inferredcites →https://doi.org/10.1609/aaai.v29i1.9214openalex-snapshot
Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel
inferredcites →https://doi.org/10.1609/aaai.v32i1.11257openalex-snapshot
Dynamic Network Embedding by Modeling Triadic Closure Process
inferredcites →https://doi.org/10.1609/aaai.v32i1.11299openalex-snapshot
TIMERS: Error-Bounded SVD Restart on Dynamic Networks
inferredcites →https://doi.org/10.1609/aaai.v32i1.11747openalex-snapshot
Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction
inferredcites →https://doi.org/10.1609/aaai.v32i1.11856openalex-snapshot
COSINE: Community-Preserving Social Network Embedding From Information Diffusion Cascades
inferredcites →https://doi.org/10.1609/aaai.v32i1.11872openalex-snapshot
GraphGAN: Graph Representation Learning With Generative Adversarial Nets
inferredcites →https://doi.org/10.1609/aaai.v33i01.33011004openalex-snapshot
Learning Heterogeneous Spatial-Temporal Representation for Bike-Sharing Demand Prediction
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013558openalex-snapshot
Hypergraph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i04.5815openalex-snapshot
Diachronic Embedding for Temporal Knowledge Graph Completion
inferredcites →https://doi.org/10.1609/aaai.v34i04.5984openalex-snapshot
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
inferredcites →https://doi.org/10.1609/aaai.v35i5.16583openalex-snapshot
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling
inferredcites →https://doi.org/10.18653/v1/d16-1260openalex-snapshot
Encoding Temporal Information for Time-Aware Link Prediction
inferredcites →https://doi.org/10.24963/ijcai.2017/467openalex-snapshot
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks
inferredcites →https://doi.org/10.24963/ijcai.2018/288openalex-snapshot
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding
inferredcites →https://doi.org/10.24963/ijcai.2018/439openalex-snapshot
Dynamic Hypergraph Structure Learning
inferredcites →https://doi.org/10.24963/ijcai.2019/447openalex-snapshot
Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks
inferredcites →https://doi.org/10.24963/ijcai.2019/548openalex-snapshot
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs
inferredcites →https://doi.org/10.24963/ijcai.2019/560openalex-snapshot
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks
inferredcites →https://doi.org/10.24963/ijcai.2019/613openalex-snapshot
Large Scale Evolving Graphs with Burst Detection
inferredcites →https://doi.org/10.24963/ijcai.2019/640openalex-snapshot
Node Embedding over Temporal Graphs
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3156/jsoft.29.5_177_2openalex-snapshot
GAN（Generative Adversarial Nets）
inferredcites →https://doi.org/10.3389/fphy.2020.00204openalex-snapshot
T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis
inferredcites →https://doi.org/10.34962/jws-80openalex-snapshot
Modeling Dynamic Ideological Behavior in Political Networks
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1609.03675openalex-snapshot
Deep Coevolutionary Network: Embedding User and Item Features for Recommendation
inferredcites →https://doi.org/10.48550/arxiv.1611.07308openalex-snapshot
Variational Graph Auto-Encoders
inferredcites →https://doi.org/10.48550/arxiv.1709.05584openalex-snapshot
Representation Learning on Graphs: Methods and Applications
inferredcites →https://doi.org/10.48550/arxiv.1804.05755openalex-snapshot
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks
inferredcites →https://doi.org/10.48550/arxiv.1805.11273openalex-snapshot
DynGEM: Deep Embedding Method for Dynamic Graphs
inferredcites →https://doi.org/10.48550/arxiv.1811.10734openalex-snapshot
DynamicGEM: A Library for Dynamic Graph Embedding Methods
inferredcites →https://doi.org/10.48550/arxiv.1812.04206openalex-snapshot
GC-LSTM: Graph Convolution Embedded LSTM for Dynamic Link Prediction
inferredcites →https://doi.org/10.48550/arxiv.1812.09430openalex-snapshot
Dynamic Graph Representation Learning via Self-Attention Networks
inferredcites →https://doi.org/10.48550/arxiv.1812.10962openalex-snapshot
A Variational Topological Neural Model for Cascade-based Diffusion in Networks
inferredcites →https://doi.org/10.48550/arxiv.1901.01346openalex-snapshot
Efficient Representation Learning Using Random Walks for Dynamic Graphs
inferredcites →https://doi.org/10.48550/arxiv.1905.11485openalex-snapshot
Representation Learning for Dynamic Graphs: A Survey
inferredcites →https://doi.org/10.48550/arxiv.1906.09860openalex-snapshot
Dynamic Network Embeddings for Network Evolution Analysis
inferredcites →https://doi.org/10.48550/arxiv.1908.09710openalex-snapshot
Variational Graph Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2006.08093openalex-snapshot
A Survey on Dynamic Network Embedding
inferredcites →https://doi.org/10.48550/arxiv.2006.12138openalex-snapshot
Graph Neural Networks in TensorFlow and Keras with Spektral
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Dynamic Disentangled Interactive Network
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Black-box attacks on dynamic graphs via adversarial topology perturbations
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Weisfeiler–Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs
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Dynamic graph representation learning with disentangled information bottleneck
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TriP: A triple-prompt framework aligning pre-training and class-incremental objectives in continual graph learning
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Detecting and explaining structural changes in an evolving graph using a martingale
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Continual graph learning: A survey
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Assessing movement-specific resilience of a signalized road network under lane-level cascading failure
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DLAE: Dynamic Long-distance Attention Embedding for enhanced link prediction in complex networks
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Survey of Graph Neural Network Methods for Dynamic Link Prediction
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Graph-based Compact Modeling (GCM) of CMOS transistors for efficient parameter extraction: A machine learning approach
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Predicting the Dynamic Interaction of Intrinsically Disordered Proteins
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TIDGN: A Transfer Learning Framework for Predicting Interactions of Intrinsically Disordered Proteins with High Conformational Dynamics
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An embedding-based distance for temporal graphs
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Determinable and interpretable network representation for link prediction
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Cross-language hotel review sentiment analysis via multi-agent federated learning with heterogeneous graph attention networks
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A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges
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An Integration of Fuzzy-Enhanced Heterophilic Graph Representation Learning for Improving Performance of Link Prediction
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Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
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Recommender Systems Based on Graph Embedding Techniques: A Review
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Exploration in Sequential Recommender Systems via Graph Representations
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Dynamic Graph Representation Learning With Neural Networks: A Survey
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Unsupervised Inductive Node Representation Learning for Dynamic Graphs
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Improving Data Entry Quality in Enterprise Applications With NLP Methods: A Model Proposal Based on BERT and Deep Learning
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Multi-domain routing in Delay Tolerant Networks
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On the Theory of Network Architectures in the Solar System Internet
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Self-Supervised Temporal Graph Learning based on Multi-Head Self-Attention Weighted Neighborhood Sequences
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Machine Learning on Dynamic Graphs: A Survey on Applications
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Temporal Link Prediction Using Graph Embedding Dynamics
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EDS-GAT: Event-Driven Selective Graph Attention Network for Social Network Embedding
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Correlation-enhanced Dynamic Graph Learning for Temporal Link Prediction
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Node Embedding over Attributed Bipartite Networks in Dynamic Context
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Hypergraph-Based Dynamic Graph Node Classification
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Statistical Analysis of Design Aspects on Various Graph Embedding Learning Classifiers
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A Survey of Dynamic Network Link Prediction
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DyFMVP: Say Goodbye to Staleness! Fresh Memory Vigorous Preserver for Continuous-Time Dynamic Graph
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Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
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Early Detection and Attribution of Structural Changes in Dynamic Networks
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Exhaustive Evaluation of Dynamic Link Prediction
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Continuous-Time Temporal Graph Learning on Provenance Graphs
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A Graph Neural Network Framework for Dynamic Malware Detection Using Api Calls and Lightweight Containers
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Real-Time Financial Fraud Detection with Autonomous Graph Neural Networks
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Dynamic Graph Learning with Tensorized Lightweight Graph Convolutional Network
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Beyond Mean: Spatio-Temporal Modeling of Queue Utilizations and Flow Latencies Using T-GNNs
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Forecasting Epidemic Spread With Recurrent Graph Gate Fusion Transformers
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High-Order Structure-Preserving Graph Neural Network for Few-Shot Learning
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Graph Lifelong Learning: A Survey
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Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks
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TDG-Mamba: Advanced Spatiotemporal Embedding for Temporal Dynamic Graph Learning via Bidirectional Information Propagation
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GraphTAN: Temporal Attention Network for Learning Graph-Level Embedding
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DPC-Sharding: Adaptive and Byzantine-Resilient Sharding for Dynamic Networks
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VGGM: Variational Graph Gaussian Mixture Model for Unsupervised Change Point Detection in Dynamic Networks
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Graph Embedding-Based Multilinear Subspace Analysis of State Ensembles in Gas–Liquid Flow
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A Survey of Change Point Detection in Dynamic Graphs
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Learning Accurate Representation to Nonstandard Tensors via a Mode-Aware Tucker Network
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Time-Aware Graph Learning for Link Prediction on Temporal Networks
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DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder
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A Survey on Edge-Aware Graph Learning Methods
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A Global-Local Dynamic Directed Graph Neural Network for Parkinson’s Disease Detection
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Improving Embedding of Graphs With Missing Data by Soft Manifolds
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DGERCL: A Dynamic Graph Embedding Approach for Root Cause Localization in Microservice Systems
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Graph Tensor Convolutional Network
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Anomalous Trajectory Detection in Vehicular Social Networks With Unsupervised Dynamic Network Representation Learning
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Dynamic network representation learning based on temporal neighborhood aggregation
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Network clustering algorithm for dynamic protein complex detection fused graph embedding
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Design of a Graph Learning-Based Algorithm for Predicting the Evolution of Smart Community Interaction Networks in Historical Urban Districts
inferred← citeshttps://doi.org/10.1145/3605098.3635979openalex-snapshot
Change Point Detection in Evolving Graph using Martingale
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Temporal Link Prediction: A Unified Framework, Taxonomy, and Review
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A Survey on Graph Representation Learning Methods
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Graph Time-series Modeling in Deep Learning: A Survey
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ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction
inferred← citeshttps://doi.org/10.1145/3696410.3714650openalex-snapshot
Domain-Informed Negative Sampling Strategies for Dynamic Graph Embedding in Meme Stock-Related Social Networks
inferred← citeshttps://doi.org/10.1145/3711896.3737165openalex-snapshot
Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time
inferred← citeshttps://doi.org/10.1145/3742784openalex-snapshot
Graph Deep Learning for Time Series Forecasting
inferred← citeshttps://doi.org/10.1145/3745024openalex-snapshot
Light Dynamic Graph Learning on Temporal Networks
inferred← citeshttps://doi.org/10.1145/3746252.3761134openalex-snapshot
EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction
inferred← citeshttps://doi.org/10.1145/3746252.3761161openalex-snapshot
Data-centric Prompt Tuning for Dynamic Graphs
inferred← citeshttps://doi.org/10.1145/3770854.3783941openalex-snapshot
Data-Centric Dual-Layer Adversarial Learning for Fraud Detection under Label Delay and Concept Drift
inferred← citeshttps://doi.org/10.1145/3772275openalex-snapshot
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
inferred← citeshttps://doi.org/10.1145/3774904.3792163openalex-snapshot
TAWRMAC: A Novel Dynamic Graph Representation Learning Method
inferred← citeshttps://doi.org/10.1177/09610006251339838openalex-snapshot
Enhancing topic modeling in digital libraries through keyword-centric self-supervised learning
inferred← citeshttps://doi.org/10.1186/s13677-023-00460-4openalex-snapshot
A large-scale data security detection method based on continuous time graph embedding framework
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Dynamic Heterogeneous Graph Attention Neural Architecture Search
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Joint learning of agents and graph embeddings in a conveyor belt control problem
inferred← citeshttps://doi.org/10.21037/qims-23-98openalex-snapshot
Aided diagnosis of thyroid nodules based on an all-optical diffraction neural network
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DGSTD: Learning on Dynamic Graph with Spatio-Temporal Disentanglement
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Efficient Gpu Implementation of Static and Incrementally Expanding Df-P Pagerank for Dynamic Graphs
inferred← citeshttps://doi.org/10.2139/ssrn.5534137openalex-snapshot
DyDT: A Dual-Modality Disentangled Temporal Representation Learning Framework for Dynamic Graphs
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5GProvGen: 5G Provenance Dataset Generation Framework
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Towards Robust Dynamic Network Embedding
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Research on the dynamic spread of information in social networks based on relationship strength theory and feedback mechanism
inferred← citeshttps://doi.org/10.3389/frai.2026.1774013openalex-snapshot
Real-time dynamic graph learning with temporal attention for financial fraud detection
inferred← citeshttps://doi.org/10.3389/frma.2022.1055348openalex-snapshot
DGTR: Dynamic graph transformer for rumor detection
inferred← citeshttps://doi.org/10.3390/app15116003openalex-snapshot
Recent Advances in Efficient Dynamic Graph Processing
inferred← citeshttps://doi.org/10.3390/bdcc9030063openalex-snapshot
A Novel Multimodal Data Fusion Framework: Enhancing Prediction and Understanding of Inter-State Cyberattacks
inferred← citeshttps://doi.org/10.3390/e25020257openalex-snapshot
A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks
inferred← citeshttps://doi.org/10.3390/e26070588openalex-snapshot
Effective Temporal Graph Learning via Personalized PageRank
inferred← citeshttps://doi.org/10.3390/fi16080295openalex-snapshot
Dynamic Graph Representation Learning for Passenger Behavior Prediction
inferred← citeshttps://doi.org/10.3390/ijgi15040161openalex-snapshot
SSPRCD: Scene Graph-Based Street-Scene Spatial Positional Relation Change Detection with Graph Differencing and Structural Quantification
inferred← citeshttps://doi.org/10.3390/info16121051openalex-snapshot
Graph Neural Networks in Medical Imaging: Methods, Applications and Future Directions
inferred← citeshttps://doi.org/10.3390/math10224193openalex-snapshot
DHGEEP: A Dynamic Heterogeneous Graph-Embedding Method for Evolutionary Prediction
inferred← citeshttps://doi.org/10.3390/smartcities5010019openalex-snapshot
A Survey of Adaptive Multi-Agent Networks and Their Applications in Smart Cities
inferred← citeshttps://doi.org/10.34133/research.0467openalex-snapshot
Causal Inference Meets Deep Learning: A Comprehensive Survey
inferred← citeshttps://doi.org/10.36227/techrxiv.171470775.50205594/v1openalex-snapshot
Temporal Graph Networks For User-Item Interaction Prediction In E-Commerce Platforms
inferred← citeshttps://doi.org/10.4018/979-8-3373-9675-0.ch007openalex-snapshot
Topological Regularization in Educational Recommendation and Personalized STEAM Tutoring
inferred← citeshttps://doi.org/10.4018/ijdwm.349975openalex-snapshot
Multichannel Adaptive Data Mixture Augmentation for Graph Neural Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2108.08754openalex-snapshot
Temporal Graph Network Embedding with Causal Anonymous Walks Representations
inferred← citeshttps://doi.org/10.5753/brasnam.2023.230902openalex-snapshot
Potencial de influência em publicações usando território causal
inferred← citeshttps://doi.org/10.5753/sbbd_estendido.2021.18179openalex-snapshot
Machine Learning on Graph-Structured Data
inferred← citeshttps://doi.org/10.70675/39c25709ze519z4732zb3fez2486070123e3openalex-snapshot
Structured-joint factor estimation for high-order and large-scale tensors
inferred← citeshttps://doi.org/10.70675/92d21a9aza54dz4fadzbcafzde28242ed93copenalex-snapshot
Temporal Graphs : From Modelling to Analysis
inferred← citeshttps://doi.org/10.70675/d08f6ebeza276z4bc8zbf09z430768bb8325openalex-snapshot
Cοntributiοns tο Advanced Dynamic Graph Νeural Νetwοrks
inferred← citeshttps://doi.org/10.7287/peerj-cs.858v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Temporal network embedding framework with causal anonymous walks representations (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.858v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Temporal network embedding framework with causal anonymous walks representations (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.858v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Temporal network embedding framework with causal anonymous walks representations (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.858v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Temporal network embedding framework with causal anonymous walks representations (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.858v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Temporal network embedding framework with causal anonymous walks representations (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.1030openalex-snapshot
Effective attributed network embedding with information behavior extraction
inferred← citeshttps://doi.org/10.7717/peerj-cs.2562openalex-snapshot
Word embedding for social sciences: an interdisciplinary survey
inferred← citeshttps://doi.org/10.7717/peerj-cs.858openalex-snapshot
Temporal network embedding framework with causal anonymous walks representations
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