Paper Citation Record · LEDGER

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.10454.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.10454 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:28:51.104760Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fe7231d-43a2-41a4-94eb-b17b589dfefc · outbound

This paper cites STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.144758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42381906-5bc0-42cd-8452-9c60e2896b63 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Convolutional neural networks on graphs with fast localized spectral filtering

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.254755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93fbefd8-68a0-4f00-adec-d004b5d4089d · outbound

This paper cites Hamilton.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Hamilton

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.355569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62572ccb-8b07-4ed0-9a48-dd60e84cf6f6 · outbound

This paper cites Hammond, Pierre Vandergheynst, and Rémi Gribonval.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Hammond, Pierre Vandergheynst, and Rémi Gribonval

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.434756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 521a088f-71e5-4342-870c-56975571a4c7 · outbound

This paper cites Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.484777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5660ea8f-146c-45d9-8498-ed46de0fdf94 · outbound

This paper cites Recurrent neural networks for time series forecasting: Current status and future directions.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Recurrent neural networks for time series forecasting: Current status and future directions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.534772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82b65455-e42b-4f78-9cd1-67d94b457acb · outbound

This paper cites Spatio-temporal graph deep neural network for short-term wind speed forecasting.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Spatio-temporal graph deep neural network for short-term wind speed forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.588215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8164b9f-3ed4-42cd-9666-bea774e52d9f · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Semi-Supervised Classification with Graph Convolutional Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.644769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50029a7b-e0f0-4580-87f2-0278b3df9db5 · outbound

This paper cites Kipf and Max Welling.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Kipf and Max Welling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.684757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa4b98d7-eb5e-459a-8511-a05e59b0aa87 · outbound

This paper cites Stock price prediction using CNN and LSTM-based deep learning models.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Stock price prediction using CNN and LSTM-based deep learning models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.754765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a3d1da8-11ac-4e86-bb7a-c4207840ef16 · outbound

This paper cites Recurrent Neural Networks for Time Series Forecasting.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Recurrent Neural Networks for Time Series Forecasting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.806589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eddd7ee4-19fd-4018-9e95-1caaf4533d99 · outbound

This paper cites PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.864774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b6e138b-e863-42a6-8b67-e2c404501d40 · outbound

This paper cites Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.905660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 956ed091-ba71-4715-aee5-62d297b6249a · outbound

This paper cites Spatio-temporal graph neural networks for multi-site PV power forecasting.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Spatio-temporal graph neural networks for multi-site PV power forecasting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:50.954751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81f645f0-10f5-4db3-88cc-a314e34ef753 · outbound

This paper cites A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:51.007578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200109bf-e257-4f75-b714-8b692c311775 · outbound

This paper cites Graph auto-encoders for financial clustering, 2021.

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Graph auto-encoders for financial clustering, 2021

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:51.054765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27abc1b2-3549-424f-9b02-75103655037c · outbound

This paper cites Process Outcome Prediction: CNN vs. LSTM (with Attention).

Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Process Outcome Prediction: CNN vs. LSTM (with Attention)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T20:28:51.104760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.