On the public citation graph

Gtr: An Explainable Graph Topic-Aware Recommender for Scholarly Document

https://doi.org/10.2139/ssrn.4770638
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Outgoing claims: the papers this work cites, builds on, or argues with.

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GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_10openalex-extracted
Content-Based Recommendation Systems
inferredcites →https://doi.org/10.1007/s00799-020-00288-2openalex-extracted
Citation recommendation: approaches and datasets
inferredcites →https://doi.org/10.1016/j.artint.2022.103708openalex-extracted
Multi-view graph convolutional networks with attention mechanism
inferredcites →https://doi.org/10.1016/j.elerap.2022.101129openalex-extracted
GC–HGNN: A global-context supported hypergraph neural network for enhancing session-based recommendation
inferredcites →https://doi.org/10.1016/j.elerap.2023.101293openalex-extracted
CDR-ULPT:Cross-domain recommendation for e-commerce using user-level preferences transfer network
inferredcites →https://doi.org/10.1016/j.eswa.2020.113790openalex-extracted
Deep learning in citation recommendation models survey
inferredcites →https://doi.org/10.1016/j.ipm.2023.103479openalex-extracted
Multi-view enhanced zero-shot node classification
inferredcites →https://doi.org/10.1109/icde53745.2022.00178openalex-extracted
Subspace Embedding Based New Paper Recommendation
inferredcites →https://doi.org/10.1109/ijcnn.2005.1555942openalex-extracted
A new model for learning in graph domains
inferredcites →https://doi.org/10.1109/tbdata.2020.3034976openalex-extracted
Collaborative Filtering With Network Representation Learning for Citation Recommendation
inferredcites →https://doi.org/10.1109/tetc.2018.2830698openalex-extracted
VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3324912openalex-extracted
Cross-Domain Recommendation via Progressive Structural Alignment
inferredcites →https://doi.org/10.1109/tkde.2024.3365508openalex-extracted
Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-extracted
The Graph Neural Network Model
inferredcites →https://doi.org/10.1145/1998076.1998132openalex-extracted
A source independent framework for research paper recommendation
inferredcites →https://doi.org/10.1145/3394486.3403233openalex-extracted
Graph Attention Networks over Edge Content-Based Channels
inferredcites →https://doi.org/10.1145/3442381.3450045openalex-extracted
Graph Topic Neural Network for Document Representation
inferredcites →https://doi.org/10.1145/3451394openalex-extracted
3DGCN: 3-Dimensional Dynamic Graph Convolutional Network for Citywide Crowd Flow Prediction
inferredcites →https://doi.org/10.1145/3460865openalex-extracted
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing
inferredcites →https://doi.org/10.1145/3473973openalex-extracted
Graph Neural Collaborative Topic Model for Citation Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532042openalex-extracted
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction
inferredcites →https://doi.org/10.1145/3589964openalex-extracted
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks
inferredcites →https://doi.org/10.1145/582415.582418openalex-extracted
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.1145/587095.587096openalex-extracted
On the recommending of citations for research papers
inferredcites →https://doi.org/10.1287/ijoc.2023.1274openalex-extracted
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems
inferredcites →https://doi.org/10.1371/journal.pone.0093949openalex-extracted
The Number of Scholarly Documents on the Public Web
inferredcites →https://doi.org/10.14257/ijhit.2015.8.3.23openalex-extracted
An Effective Academic Research Papers Recommendation for Non-profiled Users
inferredcites →https://doi.org/10.1561/9781680836233openalex-extracted
An Introduction to Variational Autoencoders
inferredcites →https://doi.org/10.1609/aaai.v32i1.12037openalex-extracted
Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i04.6110openalex-extracted
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
inferredcites →https://doi.org/10.1609/aaai.v37i4.25611openalex-extracted
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
inferredcites →https://doi.org/10.17863/cam.48429openalex-extracted
Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/d19-1371openalex-extracted
SciBERT: A Pretrained Language Model for Scientific Text
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-extracted
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.4230/lipics.sea.2024.20openalex-extracted
Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-extracted
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-extracted
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1506.05163openalex-extracted
Deep Convolutional Networks on Graph-Structured Data
inferredcites →https://doi.org/10.48550/arxiv.1606.09375openalex-extracted
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-extracted
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1703.01488openalex-extracted
Autoencoding Variational Inference For Topic Models
inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-extracted
Inductive Representation Learning on Large Graphs
inferredcites →https://doi.org/10.48550/arxiv.1707.03815openalex-extracted
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
inferredcites →https://doi.org/10.48550/arxiv.1908.08962openalex-extracted
Well-Read Students Learn Better: On the Importance of Pre-training Compact Models
inferredcites →https://doi.org/10.5281/zenodo.1286817openalex-extracted
Advances In Deep Learning On Graphs (Gsp'18 Workshop)
inferredcites →https://doi.org/10.5445/ir/1000123311openalex-extracted
Citation recommendation: approaches and datasets
inferredcites →https://doi.org/10.5555/944919.944937openalex-extracted
Latent dirichlet allocation
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-extracted
Latent Dirichlet Allocation
inferredcites →https://doi.org/10.5281/zenodo.1318390openalex-snapshot
Advances In Deep Learning On Graphs (Gsp'18 Workshop)
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