Paper Citation Record · LEDGER

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition

As of 6 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.02063.

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

pith.paper-citation-record.v1
2607.02063 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T17:06:54.717367Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fdca8ecb-2898-4605-916f-526e437191b6 · outbound

This paper cites Depressive disorder (depression),.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Depressive disorder (depression),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.043588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 101ab621-a2ee-4be0-beab-0c16fdc3c706 · outbound

This paper cites Over a billion people living with mental health conditions – services require urgent scale-up,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Over a billion people living with mental health conditions – services require urgent scale-up,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.062091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e239e680-2f02-4664-a07c-2ad958c37a17 · outbound

This paper cites Rhythms for cognition: communication through coherence,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Rhythms for cognition: communication through coherence,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.033212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 27e4b506-b529-4d5d-b0de-42241cb95b2e · outbound

This paper cites Spatial-temporal transformers for eeg emotion recognition,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Spatial-temporal transformers for eeg emotion recognition,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.078130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b02a96a2-1a63-4c39-929a-252cdecd0a1d · outbound

This paper cites Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.047964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 72b594c1-aa27-4f52-8cf3-46fe77f56314 · outbound

This paper cites Graph neural networks in network neuroscience,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Graph neural networks in network neuroscience,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.067684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 507d325b-4311-4bf6-8ae5-09fc0ae395e4 · outbound

This paper cites Mast-gcn: Multi-scale adaptive spatial-temporal graph convolutional network for eeg-based depression recognition,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Mast-gcn: Multi-scale adaptive spatial-temporal graph convolutional network for eeg-based depression recognition,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.069883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8523de29-9d0c-4373-a1c6-d7b31042ad25 · outbound

This paper cites Tfagl: A novel agent graph learn- ing method using time-frequency eeg for major depressive disorder detection,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Tfagl: A novel agent graph learn- ing method using time-frequency eeg for major depressive disorder detection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.065842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3b0dc792-e651-4d41-bf43-9aaa7b9bd40f · outbound

This paper cites Rich-club organization of the human connectome,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Rich-club organization of the human connectome,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.051873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c785b5e2-a306-4af4-bd2e-603b5cc32523 · outbound

This paper cites Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Disorganized cortical thickness covariance network in major depressive disorder implicated by aberrant hubs in large-scale networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.061549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 21d2b9ca-1a4f-40df-887e-6d8ae3eddbb6 · outbound

This paper cites Poincaré embeddings for learning hierarchical representations,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Poincaré embeddings for learning hierarchical representations,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.059636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19fc49a0-42c9-4f15-865b-2d13694c92c5 · outbound

This paper cites Depression detection based on analysis of eeg signals in multi brain regions,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Depression detection based on analysis of eeg signals in multi brain regions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.073192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97de4c74-8ffc-41cd-bb7f-a09a2e941e22 · outbound

This paper cites Automatic detection of depression using a cnn-transformer model based on low- channel eeg data,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Automatic detection of depression using a cnn-transformer model based on low- channel eeg data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.070736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b6fbff3e-eaa2-4dbb-8206-0929f9e9999c · outbound

This paper cites Eeg emotion recognition using dynamical graph convolutional neural networks,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Eeg emotion recognition using dynamical graph convolutional neural networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.053881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c136721f-85f5-4956-aa89-d380099ba505 · outbound

This paper cites Hyperbolic graph convo- lutional neural networks,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Hyperbolic graph convo- lutional neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.071897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dd04dd28-e541-4efa-b407-1526b17e862e · outbound

This paper cites A hybrid graph neural network for enhanced EEG-based depression detection,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition A hybrid graph neural network for enhanced EEG-based depression detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.073945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6b173593-d641-4d82-bf09-8ea2801cbe63 · outbound

This paper cites A wavelet-based technique to predict treatment outcome for major depressive disorder,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition A wavelet-based technique to predict treatment outcome for major depressive disorder,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.055755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5c386180-84e1-42eb-89fc-b4cd79a26baf · outbound

This paper cites Deprnet: A deep convolution neural network framework for detecting depression using eeg,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Deprnet: A deep convolution neural network framework for detecting depression using eeg,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.057468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5a6453a8-0e32-45f8-8736-ebce1a1a4502 · outbound

This paper cites A multiview sparse dynamic graph convolution-based region-attention feature fusion network for major depressive disorder detection,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition A multiview sparse dynamic graph convolution-based region-attention feature fusion network for major depressive disorder detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.030984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a74ea8bf-9863-49d0-ae81-a82d191a24c1 · outbound

This paper cites Gcb-net: Graph con- volutional broad network and its application in emotion recognition,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Gcb-net: Graph con- volutional broad network and its application in emotion recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.049874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9327cb5d-bcf2-4b73-903e-90755e4d4a87 · outbound

This paper cites Lggnet: Learning from local-global-graph representations for brain–computer interface,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Lggnet: Learning from local-global-graph representations for brain–computer interface,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.059455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4bc54ed1-94ae-486b-8761-07eab001049e · outbound

This paper cites Eeg-based emotion recognition using regularized graph neural networks.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Eeg-based emotion recognition using regularized graph neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.067901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 24ed0170-c3a9-4433-ad4f-b87ce026734e · outbound

This paper cites Graph- sleepnet: Adaptive spatial-temporal graph convolutional networks for sleep stage classification.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Graph- sleepnet: Adaptive spatial-temporal graph convolutional networks for sleep stage classification

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.075926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 17fe9cc1-9f6d-454c-98cf-41a7df841f41 · outbound

This paper cites Dynamical causal graph neural network for eeg emotion recognition,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Dynamical causal graph neural network for eeg emotion recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.037457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 187d1cf4-1a4e-4704-a256-977aabf6fc8d · outbound

This paper cites Neural mechanisms of the cognitive model of depression,.

SA-HGNN: Sample-Adaptive Hyperbolic Graph Neural Network for EEG-Based Depression Recognition Neural mechanisms of the cognitive model of depression,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:42.039374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.