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Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks

https://doi.org/10.1145/3589964
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-73194-6_1openalex-snapshot
Learning the Implicit Semantic Representation on Graph-Structured Data
inferredcites →https://doi.org/10.1007/978-3-031-30672-3_19openalex-snapshot
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-snapshot
Modeling Relational Data with Graph Convolutional Networks
inferredcites →https://doi.org/10.1007/s00799-020-00288-2openalex-snapshot
Citation recommendation: approaches and datasets
inferredcites →https://doi.org/10.1016/j.artint.2022.103708openalex-snapshot
Multi-view graph convolutional networks with attention mechanism
inferredcites →https://doi.org/10.1016/j.neucom.2021.10.047openalex-snapshot
A graph convolutional topic model for short and noisy text streams
inferredcites →https://doi.org/10.1016/j.neunet.2020.08.021openalex-snapshot
MGAT: Multi-view Graph Attention Networks
inferredcites →https://doi.org/10.1016/j.patcog.2021.108204openalex-snapshot
Estimating fund-raising performance for start-up projects from a market graph perspective
inferredcites →https://doi.org/10.1109/afgr.1998.670990openalex-snapshot
Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron
inferredcites →https://doi.org/10.1109/cvpr.2019.00010openalex-snapshot
Edge-Labeling Graph Neural Network for Few-Shot Learning
inferredcites →https://doi.org/10.1109/cvpr.2019.00943openalex-snapshot
Exploiting Edge Features for Graph Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.01103openalex-snapshot
Explainability Methods for Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/ijcnn.2005.1555942openalex-snapshot
A new model for learning in graph domains
inferredcites →https://doi.org/10.1109/msp.2017.2693418openalex-snapshot
Geometric Deep Learning: Going beyond Euclidean data
inferredcites →https://doi.org/10.1109/tcyb.2021.3052522openalex-snapshot
Relation Regularized Scene Graph Generation
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.2019.2937924openalex-snapshot
Structured Graph Optimization for Unsupervised Feature Selection
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tpami.2021.3115452openalex-snapshot
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
inferredcites →https://doi.org/10.1109/tpami.2022.3199784openalex-snapshot
Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application
inferredcites →https://doi.org/10.1109/tpami.2022.3204236openalex-snapshot
Explainability in Graph Neural Networks: A Taxonomic Survey
inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot
DeepWalk
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
inferredcites →https://doi.org/10.1145/3219819.3220077openalex-snapshot
DeepInf
inferredcites →https://doi.org/10.1145/3336191.3371829openalex-snapshot
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
inferredcites →https://doi.org/10.1145/3357384.3358106openalex-snapshot
Meta-GNN
inferredcites →https://doi.org/10.1145/3363574openalex-snapshot
Attention Models in Graphs
inferredcites →https://doi.org/10.1145/3366423.3380102openalex-snapshot
Graph Attention Topic Modeling Network
inferredcites →https://doi.org/10.1145/3394486.3403085openalex-snapshot
XGNN: Towards Model-Level Explanations of Graph Neural Networks
inferredcites →https://doi.org/10.1145/3394486.3403233openalex-snapshot
Graph Attention Networks over Edge Content-Based Channels
inferredcites →https://doi.org/10.1145/3441456openalex-snapshot
Elastic Embedding through Graph Convolution-based Regression for Semi-supervised Classification
inferredcites →https://doi.org/10.1145/3442381.3449962openalex-snapshot
Drug Package Recommendation via Interaction-aware Graph Induction
inferredcites →https://doi.org/10.1145/3442381.3450045openalex-snapshot
Graph Topic Neural Network for Document Representation
inferredcites →https://doi.org/10.1145/3451394openalex-snapshot
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction
inferredcites →https://doi.org/10.1145/3460865openalex-snapshot
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
inferredcites →https://doi.org/10.1145/3474085.3475684openalex-snapshot
Linking the Characters
inferredcites →https://doi.org/10.1145/3494561openalex-snapshot
Multi-relation Graph Summarization
inferredcites →https://doi.org/10.1145/3524383.3524429openalex-snapshot
Knowledge Graph Completion Based on Multi-Relation Graph Attention Network
inferredcites →https://doi.org/10.1162/tacl_a_00325openalex-snapshot
Topic Modeling in Embedding Spaces
inferredcites →https://doi.org/10.1360/ssi-2019-0292openalex-snapshot
Cross-modal video moment retrieval based on visual-textual relationship alignment
inferredcites →https://doi.org/10.1561/9781680836233openalex-snapshot
An Introduction to Variational Autoencoders
inferredcites →https://doi.org/10.1609/aaai.v34i04.5929openalex-snapshot
Independence Promoted Graph Disentangled Networks
inferredcites →https://doi.org/10.1609/aaai.v34i04.6110openalex-snapshot
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
inferredcites →https://doi.org/10.1609/aaai.v34i04.6114openalex-snapshot
Multi-Label Causal Feature Selection
inferredcites →https://doi.org/10.18653/v1/d18-1495openalex-snapshot
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model
inferredcites →https://doi.org/10.18653/v1/d19-5308openalex-snapshot
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
inferredcites →https://doi.org/10.25080/majora-8b375195-003openalex-snapshot
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms
inferredcites →https://doi.org/10.3724/sp.j.1016.2008.01780openalex-snapshot
A Method of Adaptively Selecting Best LDA Model Based on Density
inferredcites →https://doi.org/10.48550/arxiv.1903.03894openalex-snapshot
GNNExplainer: Generating Explanations for Graph Neural Networks
inferredcites →https://doi.org/10.5445/ir/1000123311openalex-snapshot
Citation recommendation: approaches and datasets
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation

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.4770638openalex-extracted
Gtr: An Explainable Graph Topic-Aware Recommender for Scholarly Document
inferred← citeshttps://doi.org/10.1007/978-3-031-50485-3_1openalex-snapshot
Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-15404-0_8openalex-snapshot
Multi-label Object Detection Using Multi-model R-CNN
inferred← citeshttps://doi.org/10.1007/s44230-023-00058-8openalex-snapshot
A Local Explainability Technique for Graph Neural Topic Models
inferred← citeshttps://doi.org/10.1016/j.elerap.2024.101439openalex-snapshot
GTR: An explainable Graph Topic-aware Recommender for scholarly document
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127624openalex-snapshot
Exploring the interpretability of Vision GCN with a multi-method approach
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104958openalex-snapshot
Disentangling relational semantics in graph data to summarize entity descriptions
inferred← citeshttps://doi.org/10.1109/tbdata.2025.3552341openalex-snapshot
Multi-Objective Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/tem.2026.3657744openalex-snapshot
Anomaly Detection in Industrial Internet of Things: A Graph Learning Approach With Spatiotemporal Interactions
inferred← citeshttps://doi.org/10.1109/tkde.2024.3397705openalex-snapshot
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment
inferred← citeshttps://doi.org/10.1109/tkde.2025.3581606openalex-snapshot
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
inferred← citeshttps://doi.org/10.1145/3626772.3657902openalex-snapshot
Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3700444openalex-snapshot
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm
inferred← citeshttps://doi.org/10.1145/3788878openalex-snapshot
Dynamic Dependency-Aware Collaborative Contrastive Learning for Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3805622.3810603openalex-snapshot
Target-Enhanced Gated Transformer: A Multi-Behavior Recommendation Framework for Noise Suppression and Target Signal Preservation
inferred← citeshttps://doi.org/10.1609/aaai.v38i11.29113openalex-snapshot
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
inferred← citeshttps://doi.org/10.1609/aaai.v38i18.29956openalex-snapshot
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.553openalex-snapshot
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs
inferred← citeshttps://doi.org/10.24963/ijcai.2023/262openalex-snapshot
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
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