Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:39:54.811245Z
Paper Citation Record · LEDGER
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification
As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.19385.
A citation records a reference. It does not transfer a finding from one paper to another.
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One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
35 of 35 outbound references displayed
- verified exact1
- verified fuzzy31
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eee70589-6a43-48e7-8677-558f57e463ec · outbound
This paper cites Forecasting financial market structure from net- work features using machine learning.Knowledge and Information Systems, 2024.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Forecasting financial market structure from net- work features using machine learning.Knowledge and Information Systems, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.441840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cc35ab68-57ce-43b4-b296-a6e56b193e9d · outbound
This paper cites Dynamic Deep Convolutional Candlestick Learner.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Dynamic Deep Convolutional Candlestick Learner
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:39:54.623336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41c84e9b-5060-45bf-9087-b87e1c66534d · outbound
This paper cites A novel convolutional neural networks for stock trading based on ddqn algorithm.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification A novel convolutional neural networks for stock trading based on ddqn algorithm
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.425605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7703eea3-d74d-4591-8e18-5eed907347e1 · outbound
This paper cites Hierar- chical multi-scale gaussian transformer for stock movement prediction.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Hierar- chical multi-scale gaussian transformer for stock movement prediction
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.409149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 58214d6a-8fae-4435-9258-9908e471135e · outbound
This paper cites Relation-aware dynamic attributed graph attention network for stocks rec- ommendation.Pattern Recognition, 2022.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Relation-aware dynamic attributed graph attention network for stocks rec- ommendation.Pattern Recognition, 2022
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.391490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation db3e8128-0368-406b-be6b-ff4611713814 · outbound
This paper cites Graph-based stock recommendation by time-aware relational attention network.ACM Transactions on Knowledge Discovery from Data (TKDD), 2021.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Graph-based stock recommendation by time-aware relational attention network.ACM Transactions on Knowledge Discovery from Data (TKDD), 2021
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.373664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bcccc0d8-7e6b-449b-9374-97b7616bc84b · outbound
This paper cites Dystage: Dynamic graph representation learning for asset pricing via spatio-temporal atten- tion and graph encodings.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Dystage: Dynamic graph representation learning for asset pricing via spatio-temporal atten- tion and graph encodings
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.356282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8136defd-f61a-4021-ba59-20194f88d1d5 · outbound
This paper cites Static-dynamic graph neural network for stock recommendation.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Static-dynamic graph neural network for stock recommendation
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.339336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ea94a11-e48b-4efd-a35e-701cdf2c3f80 · outbound
This paper cites A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T15:39:54.890558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7da4d0eb-05d7-4991-a7e1-b6138292e317 · outbound
This paper cites Stock price prediction methodology using random forest algorithm and sup- port vector machine.Materials Today: Proceedings, 2022.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Stock price prediction methodology using random forest algorithm and sup- port vector machine.Materials Today: Proceedings, 2022
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.320188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation bca09210-74de-48c9-b75a-c3c649051814 · outbound
This paper cites Gcnet: Graph-based prediction of stock price movement using graph convolutional network.Engineering Ap- plications of Artificial Intelligence, 2022.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Gcnet: Graph-based prediction of stock price movement using graph convolutional network.Engineering Ap- plications of Artificial Intelligence, 2022
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.303670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c00384e6-ddbd-4fc4-9ed0-53c0b904d005 · outbound
This paper cites Stock price prediction using a frequency decomposition based gru transformer neural network.Applied Sciences, 2022.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Stock price prediction using a frequency decomposition based gru transformer neural network.Applied Sciences, 2022
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.284989Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8c8ba6bf-31e1-4520-b7ca-e2af5799b5dc · outbound
This paper cites Vgc-gan: A multi- graph convolution adversarial network for stock price prediction.Expert Systems with Applications, 2024.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Vgc-gan: A multi- graph convolution adversarial network for stock price prediction.Expert Systems with Applications, 2024
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.267022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fe4225c1-3f52-437d-94c4-6c7b13b23481 · outbound
This paper cites Stock market forecasting using the random forest and deepneuralnetworkmodelsbeforeandduringthecovid-19period.Frontiers in Environmental Science, 2022.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Stock market forecasting using the random forest and deepneuralnetworkmodelsbeforeandduringthecovid-19period.Frontiers in Environmental Science, 2022
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.249495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ab9d5213-8404-4cc0-8212-ba32e37fad51 · outbound
This paper cites Forecast- ing stock indices: Stochastic and artificial neural network models.Compu- tational Economics, 2025.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Forecast- ing stock indices: Stochastic and artificial neural network models.Compu- tational Economics, 2025
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.232033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e810ba05-16d8-4b95-ba65-5d47c00e3483 · outbound
This paper cites A systematic reviewongraphneuralnetwork-basedmethodsforstockmarketforecasting.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification A systematic reviewongraphneuralnetwork-basedmethodsforstockmarketforecasting
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.215837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3899c0f3-8666-41a0-b7a5-66becbe69c17 · outbound
This paper cites An improved convolutional recurrent neural network for stock price forecasting.IAES International Journal of Artificial Intelligence, 2024.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification An improved convolutional recurrent neural network for stock price forecasting.IAES International Journal of Artificial Intelligence, 2024
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.200427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d1b77006-312c-4cfa-afb3-e8ec61e9260d · outbound
This paper cites Forecasting stock market movement direction using sentiment analysis and support vector machine.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Forecasting stock market movement direction using sentiment analysis and support vector machine
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.182979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96e302b7-47d5-4891-bdb3-422a7dc7b236 · outbound
This paper cites Stock ranking prediction using list-wise approach and node embedding technique.IEEE Access, 2021.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Stock ranking prediction using list-wise approach and node embedding technique.IEEE Access, 2021
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.167197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ee30d092-03fa-43a8-8b5a-32ce95f37a21 · outbound
This paper cites Ex- ploring the scale-free nature of stock markets: Hyperbolic graph learning for algorithmic trading.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Ex- ploring the scale-free nature of stock markets: Hyperbolic graph learning for algorithmic trading
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.151266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 021dbd9e-3aac-425c-84f8-88b77fc41ea5 · outbound
This paper cites Learn- ing dynamic dependencies with graph evolution recurrent unit for stock predictions.IEEE Transactions on Systems, Man, and Cybernetics: Sys- tems, 2023.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Learn- ing dynamic dependencies with graph evolution recurrent unit for stock predictions.IEEE Transactions on Systems, Man, and Cybernetics: Sys- tems, 2023
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.134978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d05d9b5-3298-4ffe-b8e1-19f181b22072 · outbound
This paper cites Graph denoising networks: a deep learning framework for equity portfolio construction.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Graph denoising networks: a deep learning framework for equity portfolio construction
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.117638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 03a62d02-975a-451d-b351-654183942fb2 · outbound
This paper cites Distance correlation market graph: The case of s&p500 stocks.Mathematics, 2023.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Distance correlation market graph: The case of s&p500 stocks.Mathematics, 2023
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.100852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 213f61ea-f12b-40e2-8c9d-f03500feecba · outbound
This paper cites Attention is all you need.Advances in neural information processing systems, 2017.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Attention is all you need.Advances in neural information processing systems, 2017
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.083350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b7e0e32-38bf-4863-9f6b-38c80b697b53 · outbound
This paper cites Graphattentionnetworks.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Graphattentionnetworks
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.066555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8bc30639-a309-46ce-9b48-17b9352b1d96 · outbound
This paper cites Mg- conv: A spatiotemporal multi-graph convolutional neural network for stock market index trend prediction.Computers and Electrical Engineering, 2022.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Mg- conv: A spatiotemporal multi-graph convolutional neural network for stock market index trend prediction.Computers and Electrical Engineering, 2022
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.049535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8647cb7f-0869-4ac4-adb7-478d23f417bc · outbound
This paper cites Stock market index prediction using deep transformer model.Expert Systems with Applications, 2022.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Stock market index prediction using deep transformer model.Expert Systems with Applications, 2022
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.032708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a42bd43d-9fde-40cf-9246-500de50601fe · outbound
This paper cites HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:39:54.769602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31958f00-e51e-4cf9-a8b8-c21eadf597e1 · outbound
This paper cites Forecasting stock prices using stock correlation graph: A graph convolu- tional network approach.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Forecasting stock prices using stock correlation graph: A graph convolu- tional network approach
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:55.015030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9bd35440-15ed-4dd5-a97e-5dc6dda24833 · outbound
This paper cites DGDNN:Decoupledgraphdiffusionneuralnetworkforstockmovementpre- diction.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification DGDNN:Decoupledgraphdiffusionneuralnetworkforstockmovementpre- diction
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:54.996413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4f68d9f-1a4d-48bc-b40e-5d197af18183 · outbound
This paper cites Stock price prediction and comparative analysis using rnn, lstm and arima.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Stock price prediction and comparative analysis using rnn, lstm and arima
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:54.979534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8bdbe7ec-af13-4e98-8c0e-223cb533aa29 · outbound
This paper cites A feature-importance-aware and robust aggre- gator for gcn.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification A feature-importance-aware and robust aggre- gator for gcn
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:54.961998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ceaba6f1-4254-4c8b-8c50-38a84af5a999 · outbound
This paper cites Hop-Hop Relation-aware Graph Neural Networks.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Hop-Hop Relation-aware Graph Neural Networks
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:39:54.800037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16271d6d-9fb7-4749-924a-ff04553123e0 · outbound
This paper cites Node-feature convolution for graph convolutional networks.Pattern Recognition, 128: 108661, 2022.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Node-feature convolution for graph convolutional networks.Pattern Recognition, 128: 108661, 2022
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:54.943638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f13ba49a-9fb2-493a-9b0c-c617939c934c · outbound
This paper cites Relational temporal graph convolutional networks for ranking-based stock prediction.
STN-TGAT: Top-K Portfolio Construction via Prior-Guided Graph Attention with Learnable Soft-Threshold Sparsification Relational temporal graph convolutional networks for ranking-based stock prediction
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T15:39:54.926067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.