On the public citation graph
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
0 signed · 2894 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10822-016-9938-8openalex-snapshot
Molecular graph convolutions: moving beyond fingerprints
inferredcites →https://doi.org/10.1093/bioinformatics/bty294openalex-snapshot
Modeling polypharmacy side effects with graph convolutional networks
inferredcites →https://doi.org/10.1109/focs.2006.49openalex-snapshot
Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
inferredcites →https://doi.org/10.1109/msp.2017.2693418openalex-snapshot
Geometric Deep Learning: Going beyond Euclidean data
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/956863.956944openalex-snapshot
Efficient query evaluation using a two-level retrieval process
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4074882openalex-extracted
Interactive Sentiment Analysis with Ranking Graph Convolutional Networks
inferred← citeshttps://doi.org/10.2139/ssrn.4448969openalex-extracted
Dw-Gcn: A Dual Graph Convolutions Network for Recommendation Systems
inferred← citeshttps://doi.org/10.2139/ssrn.4501353openalex-extracted
Api Usage Recommendation by Merging Similar Projects Based on Graph Representation Learning
inferred← citeshttps://doi.org/10.2139/ssrn.4634153openalex-extracted
Pptcdr: Personalized Preference Transfer Cross-Domain Recommendation Based on Heterogeneous Graph Neural Networks
inferred← citeshttps://doi.org/10.2139/ssrn.4648599openalex-extracted
Cross-Feedback Factorization Recommendation with Reconstructed Features
inferred← citeshttps://doi.org/10.2139/ssrn.4692194openalex-extracted
SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks
inferred← citeshttps://doi.org/10.2139/ssrn.4872577openalex-extracted
Dhdhl: Deep Heterogeneous Dynamic Hypergraph Learning for Recommender Systems
inferred← citeshttps://doi.org/10.1002/9781119695868.ch5openalex-snapshot
Applications of Artificial Intelligence and Big Data in Industry 4.0 Technologies
inferred← citeshttps://doi.org/10.1002/9781119853923.ch2openalex-snapshot
Overview of Recent Advancements in Deep Learning and Artificial Intelligence
inferred← citeshttps://doi.org/10.1002/9781394162871.ch4openalex-snapshot
Machine Learning and Computer Vision Applications in Civil Infrastructure Inspection and Monitoring
inferred← citeshttps://doi.org/10.1002/aaai.12056openalex-snapshot
Explainability in music recommender systems
inferred← citeshttps://doi.org/10.1002/adts.202400589openalex-snapshot
A Physics‐Driven GraphSAGE Method for Physical Field Simulations Described by Partial Differential Equations
inferred← citeshttps://doi.org/10.1002/advs.202411925openalex-snapshot
Weighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors
inferred← citeshttps://doi.org/10.1002/bte2.70004openalex-snapshot
CrysToGraph: A Comprehensive Predictive Model for Crystal Material Properties and the Benchmark
inferred← citeshttps://doi.org/10.1002/cpe.5695openalex-snapshot
Graph convolutional networks with higher‐order pooling for semisupervised node classification
inferred← citeshttps://doi.org/10.1002/cpe.6704openalex-snapshot
Research on cross‐hierarchical graph network recommendation algorithm based on random walk and convolutional neural network
inferred← citeshttps://doi.org/10.1002/cpe.70293openalex-snapshot
Interest‐Guided Adaptive Bidirectional Transfer via Graph Neural Networks for Cross‐Domain Recommendation
inferred← citeshttps://doi.org/10.1002/cpe.70323openalex-snapshot
APVFGL : A Robust Vertical Federated Graph Learning Framework Against Poisoning Attacks
inferred← citeshttps://doi.org/10.1002/int.22444openalex-snapshot
Social‐trust‐aware variational recommendation
inferred← citeshttps://doi.org/10.1002/int.22694openalex-snapshot
SAN: Attention‐based social aggregation neural networks for recommendation system
inferred← citeshttps://doi.org/10.1002/int.22819openalex-snapshot
A two‐phase knowledge distillation model for graph convolutional network‐based recommendation
inferred← citeshttps://doi.org/10.1002/int.22891openalex-snapshot
Measuring and sampling: A metric‐guided subgraph learning framework for graph neural network
inferred← citeshttps://doi.org/10.1002/int.22967openalex-snapshot
Sparse‐Dyn: Sparse dynamic graph multirepresentation learning via event‐based sparse temporal attention network
inferred← citeshttps://doi.org/10.1002/int.22986openalex-snapshot
Incorporating multi‐interest into recommendation with graph convolution networks
inferred← citeshttps://doi.org/10.1002/ird3.20openalex-snapshot
Graph neural networks for image‐guided disease diagnosis: A review
inferred← citeshttps://doi.org/10.1002/jcc.27514openalex-snapshot
Pre‐training strategy for antiviral drug screening with low‐data graph neural network: A case study in HIV ‐1 K103N reverse transcriptase
inferred← citeshttps://doi.org/10.1002/qute.202500625openalex-snapshot
Feature Fusion‐Based Hybrid Quantum‐Classical Graph Residual Neural Network
inferred← citeshttps://doi.org/10.1002/smr.2673openalex-snapshot
PCG: A joint framework of graph collaborative filtering for bug triaging
inferred← citeshttps://doi.org/10.1002/widm.70012openalex-snapshot
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_25openalex-snapshot
Multimedia Recommender Systems: Algorithms and Challenges
inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_5openalex-snapshot
Deep Learning for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-04648-4_7openalex-snapshot
Graph Convolutional Networks: Algorithms, Applications and Open Challenges
inferred← citeshttps://doi.org/10.1007/978-3-030-34223-4_35openalex-snapshot
Semi-supervised Graph Embedding for Multi-label Graph Node Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-34223-4_38openalex-snapshot
Interaction Graph Neural Network for News Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-38819-5_9openalex-snapshot
A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding
inferred← citeshttps://doi.org/10.1007/978-3-030-38961-1_38openalex-snapshot
Data Poisoning Attacks on Graph Convolutional Matrix Completion
inferred← citeshttps://doi.org/10.1007/978-3-030-45439-5_39openalex-snapshot
Learning to Rank Images with Cross-Modal Graph Convolutions
inferred← citeshttps://doi.org/10.1007/978-3-030-45442-5_53openalex-snapshot
Dynamic Heterogeneous Graph Embedding Using Hierarchical Attentions
inferred← citeshttps://doi.org/10.1007/978-3-030-46150-8_24openalex-snapshot
Node Representation Learning for Directed Graphs
inferred← citeshttps://doi.org/10.1007/978-3-030-46150-8_26openalex-snapshot
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-50420-5_26openalex-snapshot
GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels
inferred← citeshttps://doi.org/10.1007/978-3-030-50420-5_28openalex-snapshot
Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network
inferred← citeshttps://doi.org/10.1007/978-3-030-55130-8_1openalex-snapshot
Event-centric Tourism Knowledge Graph—A Case Study of Hainan
inferred← citeshttps://doi.org/10.1007/978-3-030-59410-7_24openalex-snapshot
Game Recommendation Based on Dynamic Graph Convolutional Network
inferred← citeshttps://doi.org/10.1007/978-3-030-59410-7_36openalex-snapshot
Graph Convolutional Network Using a Reliability-Based Feature Aggregation Mechanism
inferred← citeshttps://doi.org/10.1007/978-3-030-59413-8_18openalex-snapshot
Improving Gaussian Embedding for Extracting Local Semantic Connectivity in Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-59728-3_38openalex-snapshot
Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer’s Disease Analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-62008-0_22openalex-snapshot
Learning from Multiple Graphs of Student and Book Interactions for Campus Book Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-63820-7_87openalex-snapshot
Improving Social Recommendations with Item Relationships
inferred← citeshttps://doi.org/10.1007/978-3-030-63833-7_9openalex-snapshot
A Motif-Based Graph Neural Network to Reciprocal Recommendation for Online Dating
inferred← citeshttps://doi.org/10.1007/978-3-030-64243-3_13openalex-snapshot
MI-KGNN: Exploring Multi-dimension Interactions for Recommendation Based on Knowledge Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-67664-3_23openalex-snapshot
Graph-Revised Convolutional Network
inferred← citeshttps://doi.org/10.1007/978-3-030-67664-3_25openalex-snapshot
Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections
inferred← citeshttps://doi.org/10.1007/978-3-030-67667-4_2openalex-snapshot
Feedback-Guided Attributed Graph Embedding for Relevant Video Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-71593-9_10openalex-snapshot
An Edge Attribute-Wise Partitioning and Distributed Processing of R-GCN Using GPUs
inferred← citeshttps://doi.org/10.1007/978-3-030-73200-4_11openalex-snapshot
Graph Attention Collaborative Similarity Embedding for Recommender System
inferred← citeshttps://doi.org/10.1007/978-3-030-73200-4_20openalex-snapshot
LGCCF: A Linear Graph Convolutional Collaborative Filtering with Social Influence
inferred← citeshttps://doi.org/10.1007/978-3-030-74296-6_18openalex-snapshot
MPIA: Multiple Preferences with Item Attributes for Graph Convolutional Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-030-75765-6_13openalex-snapshot
Efficient Nodes Representation Learning with Residual Feature Propagation
inferred← citeshttps://doi.org/10.1007/978-3-030-75765-6_47openalex-snapshot
Deconfounding Representation Learning Based on User Interactions in Recommendation Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-77214-7_9openalex-snapshot
Graph Powered Machine Learning in Smart Sensor Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-78609-0_41openalex-snapshot
Autocoder Guide Multi-category Topic Clustering for Keywords Matching
inferred← citeshttps://doi.org/10.1007/978-3-030-80646-0_4openalex-snapshot
Viking Jewellery on Pinterest: Drifting Digitisations and Shared Curatorial Agency
inferred← citeshttps://doi.org/10.1007/978-3-030-85896-4_3openalex-snapshot
Simplifying Graph Convolutional Networks as Matrix Factorization
inferred← citeshttps://doi.org/10.1007/978-3-030-86365-4_10openalex-snapshot
LGACN: A Light Graph Adaptive Convolution Network for Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-030-86514-6_12openalex-snapshot
Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces
inferred← citeshttps://doi.org/10.1007/978-3-030-86520-7_24openalex-snapshot
Inductive Link Prediction with Interactive Structure Learning on Attributed Graph
inferred← citeshttps://doi.org/10.1007/978-3-030-86520-7_25openalex-snapshot
Representation Learning on Multi-layered Heterogeneous Network
inferred← citeshttps://doi.org/10.1007/978-3-030-86520-7_32openalex-snapshot
Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-87358-5_2openalex-snapshot
Brain Connectivity: Exploring from a High-Level Topological Perspective
inferred← citeshttps://doi.org/10.1007/978-3-030-88004-0_7openalex-snapshot
STA-GCN: Spatio-Temporal AU Graph Convolution Network for Facial Micro-expression Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-88007-1_40openalex-snapshot
Attribute-Level Interest Matching Network for Personalized Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-88189-4_4openalex-snapshot
Modelling Dynamic Item Complementarity with Graph Neural Network for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-89654-6_7openalex-snapshot
Towards More Robust GNN Training with Graph Normalization for GraphSAINT
inferred← citeshttps://doi.org/10.1007/978-3-030-91434-9_8openalex-snapshot
A Framework for Accelerating Graph Convolutional Networks on Massive Datasets
inferred← citeshttps://doi.org/10.1007/978-3-030-91560-5_36openalex-snapshot
Graph Data Mining in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-91702-9_34openalex-snapshot
Optimizing Diffusion Rate and Label Reliability in a Graph-Based Semi-supervised Classifier
inferred← citeshttps://doi.org/10.1007/978-3-030-92635-9_6openalex-snapshot
Recommendation Model Based on Social Homogeneity Factor and Social Influence Factor
inferred← citeshttps://doi.org/10.1007/978-3-030-93046-2_2openalex-snapshot
DiffGNN: Capturing Different Behaviors in Multiplex Heterogeneous Networks for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-94141-3_18openalex-snapshot
Identification of Key Players in a Social Media Based on the Kendall-Wei Ranking
inferred← citeshttps://doi.org/10.1007/978-3-030-94876-4_2openalex-snapshot
An Introduction to Graph Neural Networks from a Distributed Computing Perspective
inferred← citeshttps://doi.org/10.1007/978-3-030-95391-1_8openalex-snapshot
INGCF: An Improved Recommendation Algorithm Based on NGCF
inferred← citeshttps://doi.org/10.1007/978-3-030-96140-4_3openalex-snapshot
A Novel High-Order Cluster-GCN-Based Approach for Service Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-96498-6_3openalex-snapshot
Applying Recent Machine Learning Approaches to Accelerate the Algebraic Multigrid Method for Fluid Simulations
inferred← citeshttps://doi.org/10.1007/978-3-030-99736-6_30openalex-snapshot
Joint Personalized Search and Recommendation with Hypergraph Convolutional Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-99739-7_9openalex-snapshot
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation
inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_1openalex-snapshot
MDKE: Multi-level Disentangled Knowledge-Based Embedding for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_12openalex-snapshot
Joint Locality Preservation and Adaptive Combination for Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_14openalex-snapshot
Hyperbolic Personalized Tag Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_22openalex-snapshot
Deep Graph Mutual Learning for Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_5openalex-snapshot
Enhancing Graph Convolution Network for Novel Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_7openalex-snapshot
Learning Social Influence from Network Structure for Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-05933-9_20openalex-snapshot
Semantics-Guided Disentangled Learning for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-10869-3_1openalex-snapshot
Node Classification Using Deep Learning in Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-10983-6_5openalex-snapshot
Cross-perspective Graph Contrastive Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-13074-8_17openalex-snapshot
Machine Learning for Analog Layout
inferred← citeshttps://doi.org/10.1007/978-3-031-13074-8_6openalex-snapshot
Machine Learning for Testability Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-14714-2_33openalex-snapshot
SemiGraphFL: Semi-supervised Graph Federated Learning for Graph Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-15037-1_27openalex-snapshot
Biologically Inspired Neural Path Finding
inferred← citeshttps://doi.org/10.1007/978-3-031-16500-9_24openalex-snapshot
Citation Network Applications in a Scientific Co-authorship Recommender System
inferred← citeshttps://doi.org/10.1007/978-3-031-20065-6_14openalex-snapshot
Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation
inferred← citeshttps://doi.org/10.1007/978-3-031-20868-3_1openalex-snapshot
Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-20891-1_41openalex-snapshot
Graph Collaborative Filtering for Recommendation in Complex and Quaternion Spaces
inferred← citeshttps://doi.org/10.1007/978-3-031-20980-2_53openalex-snapshot
Exploring the Use of Machine Learning for Resume Recommendations
inferred← citeshttps://doi.org/10.1007/978-3-031-21047-1_15openalex-snapshot
GN-GCN: Combining Geographical Neighbor Concept with Graph Convolution Network for POI Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-21689-3_41openalex-snapshot
ConveXplainer for Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-21689-3_42openalex-snapshot
Extreme Learning Machine to Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-21743-2_51openalex-snapshot
Improvement Graph Convolution Collaborative Filtering with Weighted Addition Input
inferred← citeshttps://doi.org/10.1007/978-3-031-23821-5_2openalex-snapshot
Accelerating GNN Training on CPU$$+$$Multi-FPGA Heterogeneous Platform
inferred← citeshttps://doi.org/10.1007/978-3-031-24383-7_1openalex-snapshot
A Negative Sampling-Based Service Recommendation Method
inferred← citeshttps://doi.org/10.1007/978-3-031-24383-7_20openalex-snapshot
A Collaborative Graph Convolutional Networks and Learning Styles Model for Courses Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-25538-0_37openalex-snapshot
Adversary for Social Good: Leveraging Attribute-Obfuscating Attack to Protect User Privacy on Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-26390-3_27openalex-snapshot
Transforming PageRank into an Infinite-Depth Graph Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-031-26651-5_5openalex-snapshot
Toward Recommender Systems Scalability and Efficacy
inferred← citeshttps://doi.org/10.1007/978-3-031-28244-7_14openalex-snapshot
Recommendation Algorithm Based on Deep Light Graph Convolution Network in Knowledge Graph
inferred← citeshttps://doi.org/10.1007/978-3-031-28244-7_3openalex-snapshot
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_10openalex-snapshot
Intra- and Inter-behavior Contrastive Learning for Multi-behavior Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_26openalex-snapshot
Sequential Hypergraph Convolution Network for Next Item Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-30678-5_34openalex-snapshot
GIPA: A General Information Propagation Algorithm for Graph Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-30678-5_40openalex-snapshot
Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-33383-5_2openalex-snapshot
Post-it: Augmented Reality Based Group Recommendation with Item Replacement
inferred← citeshttps://doi.org/10.1007/978-3-031-35415-1_8openalex-snapshot
Syndrome-Aware Herb Recommendation with Heterogeneous Graph Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-031-35507-3_43openalex-snapshot
Multi-modal Knowledge Graph Convolutional Network for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-39542-0_17openalex-snapshot
Machine Learning-Based Rumor Controlling
inferred← citeshttps://doi.org/10.1007/978-3-031-39821-6_22openalex-snapshot
CF-SAFF: Collaborative Filtering Based on Self-attention Mechanism and Feature Fusion
inferred← citeshttps://doi.org/10.1007/978-3-031-40289-0_10openalex-snapshot
Degree-Aware Embedding and Interactive Feature Fusion-Based Graph Convolution Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-40289-0_8openalex-snapshot
Debiased Contrastive Loss for Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-41456-5_9openalex-snapshot
Graph Convolution Collaborative Filtering with Dense Embeddings
inferred← citeshttps://doi.org/10.1007/978-3-031-42559-2_5openalex-snapshot
Hybrid/Advanced Session-Based Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-43129-6_27openalex-snapshot
Inductive Linear Probing for Few-Shot Node Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-43418-1_2openalex-snapshot
Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-43418-1_9openalex-snapshot
Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study
inferred← citeshttps://doi.org/10.1007/978-3-031-43421-1_23openalex-snapshot
Long-Tail Augmented Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-43421-1_43openalex-snapshot
BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-44067-0_16openalex-snapshot
XInsight: Revealing Model Insights for GNNs with Flow-Based Explanations
inferred← citeshttps://doi.org/10.1007/978-3-031-44195-0_26openalex-snapshot
Incremental Recommendation Algorithm Based on the Influence Propagation Model
inferred← citeshttps://doi.org/10.1007/978-3-031-44216-2_43openalex-snapshot
Negative Edge Prediction for Attributed Graph Clustering
inferred← citeshttps://doi.org/10.1007/978-3-031-45275-8_8openalex-snapshot
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-46661-8_50openalex-snapshot
Efficient Graph Collaborative Filtering with Multi-layer Output-Enhanced Contrastive Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-46661-8_52openalex-snapshot
Multi-Interest Aware Graph Convolution Network for Social Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-46674-8_23openalex-snapshot
Graph Contrastive Learning with Hybrid Noise Augmentation for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-46674-8_25openalex-snapshot
Multi-Self-Supervised Light Graph Convolution Network for Social Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-47724-9_30openalex-snapshot
Recommendation System over Multi-layer Complex Networks: A Wide and Deep Graph Convolutional Neural Network Approach
inferred← citeshttps://doi.org/10.1007/978-3-031-48424-7_7openalex-snapshot
Influence-Guided Data Augmentation in Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-53468-3_2openalex-snapshot
Sparse Graph Neural Networks with Scikit-Network
inferred← citeshttps://doi.org/10.1007/978-3-031-53499-7_11openalex-snapshot
Classification Supported by Community-Aware Node Features
inferred← citeshttps://doi.org/10.1007/978-3-031-53966-4_20openalex-snapshot
Multi-scale Heat Kernel Graph Network for Graph Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-56066-8_27openalex-snapshot
Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery
inferred← citeshttps://doi.org/10.1007/978-3-031-56069-9_35openalex-snapshot
Augmenting KG Hierarchies Using Neural Transformers
inferred← citeshttps://doi.org/10.1007/978-3-031-58923-2_8openalex-snapshot
Recent Advances in Federated Graph Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-62362-2_6openalex-snapshot
AutoMaster: Differentiable Graph Neural Network Architecture Search for Collaborative Filtering Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-68106-6_4openalex-snapshot
Multi-Image Super-Resolution Using Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-70344-7_4openalex-snapshot
Simple Graph Condensation
inferred← citeshttps://doi.org/10.1007/978-3-031-70365-2_25openalex-snapshot
Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-70381-2_13openalex-snapshot
Boosting Protein Language Models with Negative Sample Mining
inferred← citeshttps://doi.org/10.1007/978-3-031-71382-8_4openalex-snapshot
KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-72332-2_10openalex-snapshot
Improved Multi-hop Reasoning Through Sampling and Aggregating
inferred← citeshttps://doi.org/10.1007/978-3-031-72344-5_10openalex-snapshot
Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-78548-1_12openalex-snapshot
Evaluating Deep Graph Network Performance by Augmenting Node Features with Structural Features
inferred← citeshttps://doi.org/10.1007/978-3-031-79029-4_27openalex-snapshot
Enhancing Graph Data Quality by Leveraging Heterogeneous Node Features and Embeddings
inferred← citeshttps://doi.org/10.1007/978-3-031-82427-2_9openalex-snapshot
Expanding Label Sets for Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-83157-7_6openalex-snapshot
Applying Word Embeddings and Graph Neural Networks for Effective Malware Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-83243-7_2openalex-snapshot
Graph Neural Networks: A Suitable Alternative to MLPs in Latent 3D Medical Image Classification?
inferred← citeshttps://doi.org/10.1007/978-3-031-88714-7_23openalex-snapshot
DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs
inferred← citeshttps://doi.org/10.1007/978-3-031-90080-8_3openalex-snapshot
Mathematical Foundations of Social Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-031-90478-3_5openalex-snapshot
A Study of Graph Neural Network Frameworks and Frontiers
inferred← citeshttps://doi.org/10.1007/978-3-031-93806-1_3openalex-snapshot
GSTAM: Efficient Graph Distillation with Structural Attention-Matching
inferred← citeshttps://doi.org/10.1007/978-3-031-98164-7_3openalex-snapshot
Visual-GCN: A Hybrid Graph-Based Recommender System for Fashion
inferred← citeshttps://doi.org/10.1007/978-3-031-99565-1_21openalex-snapshot
A New Subgraph Extraction Algorithm Through a Kinship Approach for Link Prediction in Knowledge Graphs
inferred← citeshttps://doi.org/10.1007/978-3-032-01940-0_1openalex-snapshot
Resource-Efficient Model Deployment for Enterprise AI
inferred← citeshttps://doi.org/10.1007/978-3-032-04549-2_23openalex-snapshot
Real-Time and Personalized Product Recommendations for Large E-Commerce Platforms
inferred← citeshttps://doi.org/10.1007/978-3-032-05981-9_31openalex-snapshot
PipeQS: Pipeline-Based Adaptive Quantization and Staleness-Aware Distributed GNN Training System
inferred← citeshttps://doi.org/10.1007/978-3-032-06096-9_27openalex-snapshot
Fine-grained Representation Learning and Multi-view Collaborative Augmentation for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-06106-5_2openalex-snapshot
RAE: A Rule-Driven Approach for Attribute Embedding in Property Graph Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-06118-8_9openalex-snapshot
Transaction Categorization with Relational Deep Learning in QuickBooks
inferred← citeshttps://doi.org/10.1007/978-3-032-06688-6_38openalex-snapshot
A Hybrid Approach to Movie Recommendation Using Content-Based and Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-032-13509-4_26openalex-snapshot
EDCOC: Early Detection of Coordinated Online Community Using Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-14430-0_41openalex-snapshot
Large-Scale Recommender Systems: State-of-the-Art and Practical Considerations
inferred← citeshttps://doi.org/10.1007/978-3-032-14534-5_39openalex-snapshot
Interplay of LDA-EMD for Enhanced Product Recommendation Strategy
inferred← citeshttps://doi.org/10.1007/978-3-032-15987-8_18openalex-snapshot
Combining Large Language Model Embeddings and Graph Neural Networks for Accurate Job Recommendations
inferred← citeshttps://doi.org/10.1007/978-3-032-20114-0_24openalex-snapshot
Machine Learning Networks System (MLNS) A Multi-objective Machine Learning Framework for Network Structured Data
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_2openalex-snapshot
A Systematic Reproducibility Study of BSARec for Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-22264-0_40openalex-snapshot
GartransNet: 3D Garments Animation via Transmission Optimized Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-24804-6_31openalex-snapshot
Effect of SBERT Text Embeddings on Deep Graph Clustering of Social Media User Communities on Bluesky
inferred← citeshttps://doi.org/10.1007/978-3-032-26204-2_33openalex-snapshot
Exact Verification of Graph Neural Networks with Incremental Constraint Solving
inferred← citeshttps://doi.org/10.1007/978-3-032-26836-5_28openalex-snapshot
Black-Box Poisoning Attacks on Sequential Recommender Systems via Cross-Domain Profiles
inferred← citeshttps://doi.org/10.1007/978-3-032-31141-2_3openalex-snapshot
Comparative Evaluation of Recommendation Bagging Algorithms: Combining Collaborative Filtering and Deep Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-32023-0_30openalex-snapshot
Graph-Based Approaches for Cold-Start Recommendation: A Comprehensive Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-37038-9_20openalex-snapshot
Zero-Shot Image Personalization from Personas
inferred← citeshttps://doi.org/10.1007/978-3-032-40774-0_42openalex-snapshot
GatGCN: Attention-Driven Graph Convolution for Accurate and Diverse Recommendation
showing the first 200 of 2882 · page through all 2882
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.