Pith. sign in

Paper Citation Record · LEDGER

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections

As of 12 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2411.14796.

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

pith.paper-citation-record.v1
2411.14796 v3

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:58:37.254075Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy53
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce46e38f-8d44-4b1d-afc9-6b967e74481b · outbound

This paper cites Skeleton-based action recognition using sparse spatio- temporal gcn with edge effective resistance.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Skeleton-based action recognition using sparse spatio- temporal gcn with edge effective resistance

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.686419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.577118Z digest=sha256:4202f5e70371225de62b79d3d72da38654cd4ef11c98c7771558bd46bbbebde1

Observation 0db9de34-e287-4b6b-bcc9-0f74e42e2487 · outbound

This paper cites Hypergraph convolution and hypergraph attention.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Hypergraph convolution and hypergraph attention

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T14:58:36.580702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:58:36.580702Z digest=sha256:aa09822d727196bc378e4ca90eef878a3b120c201554e5288514d85c60f60c0e

Observation be16f8d2-d428-4fc7-bc6a-d9661185c674 · outbound

This paper cites Channel-wise topology refinement graph convolution for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Channel-wise topology refinement graph convolution for skeleton-based action recognition

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.562458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.587672Z digest=sha256:643df6fe214a328cfc824cfaf04c148bd182750e533acf7348f9a486e605b4e3

Observation 9a5fb07a-1cad-45d6-950f-ad0d69d9ff82 · outbound

This paper cites Decoupling gcn with dropgraph module for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Decoupling gcn with dropgraph module for skeleton-based action recognition

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.456377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.591605Z digest=sha256:3f026a1a72e6a0ebf44d1a40cdd8004e8f01edb87a1143fbe8702a3667cedb6e

Observation 825b5aa3-b64b-4c94-9c2c-b1670f7be65d · outbound

This paper cites Skeleton-based action recogni- tion with shift graph convolutional network.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Skeleton-based action recogni- tion with shift graph convolutional network

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.445043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.594888Z digest=sha256:7cc4a1284f35e9eac9932cb585b8abbd2e321838a0ae072ef846cf7e07a0d7b3

Observation 8217a6a4-f286-4dc6-8f65-8bfd55fbf955 · outbound

This paper cites In- fogcn: Representation learning for human skeleton-based ac- tion recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections In- fogcn: Representation learning for human skeleton-based ac- tion recognition

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.385000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.598255Z digest=sha256:3d52472da2549f4963d256533d336f1904dbed15a1dc4e5c691ae0b10608ac69

Observation 9473816a-b1e0-483f-84dd-687aec921917 · outbound

This paper cites P-cnn: Pose-based cnn features for action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections P-cnn: Pose-based cnn features for action recognition

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.349707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.601493Z digest=sha256:043aa2e32e16442d8c74fe23c9d08f9ead2273871080b592fc19781f61b80416

Observation 0e5b4fee-229e-46e9-b0a9-81b51efafbbe · outbound

This paper cites Skateformer: skeletal- temporal transformer for human action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Skateformer: skeletal- temporal transformer for human action recognition

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.338854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.604282Z digest=sha256:f53b1ae1dbd1e21208a620aa842654f4bd2bc89567d7281c90d7868c45693bbe

Observation 9c3f3f17-f6b1-48e2-871a-b563b2734aa4 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:58:36.606907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:58:36.606907Z digest=sha256:0c35ef68857f9da8f6f0ba43aae265f15ddeebd4f891a357aa0c569f39a20b29

Observation afa768d3-e061-4eba-ad76-1f367f1f02a2 · outbound

This paper cites Hierarchical recur- rent neural network for skeleton based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Hierarchical recur- rent neural network for skeleton based action recognition

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.310206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.609939Z digest=sha256:d9bc0399065acf87a4269b91972e23c57ce07196030d9d22e6b41f057a34b6e9

Observation 5b0d18c4-485a-40c4-8f27-ca87a3c5aed2 · outbound

This paper cites Multi-scale spatial temporal graph neural network for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Multi-scale spatial temporal graph neural network for skeleton-based action recognition

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.252848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.612366Z digest=sha256:73c3c5dd04cb1abc2842bbdbe4f348615b2bbc8ac0113c9d22a08d61ea210bc6

Observation 4efa5a04-d738-4e2a-a18c-3383eb3766f6 · outbound

This paper cites Hgnn+: General hypergraph neural networks.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Hgnn+: General hypergraph neural networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.242400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.615030Z digest=sha256:7ec8115b436ded9ea12f0650371d4c82119b193d64f13d17fc2fbe680ebcd1f2

Observation 1d922e13-cf43-4541-b454-c0e12f81b119 · outbound

This paper cites Hypergraph neural network for skeleton-based action recog- nition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Hypergraph neural network for skeleton-based action recog- nition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.186203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.617735Z digest=sha256:597a0528a4f71fda476d714ba84cf5ec50c0539034f524470055e9c693aa24fe

Observation 86de87cc-88da-40ae-8b51-6cf9a27be2b5 · outbound

This paper cites Multi-channel network: Constructing efficient gcn baselines for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Multi-channel network: Constructing efficient gcn baselines for skeleton-based action recognition

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.137022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.620316Z digest=sha256:590af4926c260f4b70f5d4817a48e4cfc45790d5bc340b3257c87755fcaba777

Observation 2cd43b9a-8cce-4674-ac44-5f4b220e6da9 · outbound

This paper cites Part-level graph convolutional network for skeleton- based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Part-level graph convolutional network for skeleton- based action recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.126884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.623152Z digest=sha256:9f5162f7aebdcf65dbf701ca227c409910c89655252ab5b95424ecb97e16003c

Observation 61a556a0-b27c-47ed-8b26-50762fd8d34b · outbound

This paper cites Gesture interaction in virtual reality: A low-cost machine learning system and a qualitative assessment of effectiveness of se- lected gestures vs.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Gesture interaction in virtual reality: A low-cost machine learning system and a qualitative assessment of effectiveness of se- lected gestures vs

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.103108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.646486Z digest=sha256:07a308e5db6f19a7d40496a9f7fdba1787b8771d16de176d392313f5235c3a94

Observation b57dbf44-6294-400e-99fb-9f7423b38cbf · outbound

This paper cites 3d convolu- tional neural networks for human action recognition.TPAMI, 35(1):221–231, 2012.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections 3d convolu- tional neural networks for human action recognition.TPAMI, 35(1):221–231, 2012

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.057598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.719580Z digest=sha256:04e76207c39b15f0e6ba66c443221e9b88a115665803ff4fa130174efbcea5b5

Observation 99c41434-83fb-4d05-9e02-b347fd768ead · outbound

This paper cites Dynamic hypergraph neural networks.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Dynamic hypergraph neural networks

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:39.047015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.787777Z digest=sha256:2bb92454c6be31e90e16715d10a6638260c20060211ecbb7eb36525f0fa36b69

Observation f22e85b4-9e90-4e6c-b3e2-5798ca12d525 · outbound

This paper cites Multilevel hypergraph partitioning: Application in vlsi domain.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Multilevel hypergraph partitioning: Application in vlsi domain

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.974109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.791330Z digest=sha256:548a9d3d910ccb2cd114af60ede94cfe30c9bd243ef011aaab8bd1ec77a970ee

Observation d2d8db02-f12f-4b08-83bd-59d55b4636d7 · outbound

This paper cites Ddgcn: A dynamic directed graph convolutional network for action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Ddgcn: A dynamic directed graph convolutional network for action recognition

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.964262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.795569Z digest=sha256:307455cf651f9de155c7337411b4809e9fc2262a12253806498d5a4d68640bf5

Observation f663458c-6aa1-43af-b323-3c1fa8e40e4c · outbound

This paper cites Semantic human activity annotation tool using skeletonized surveillance videos.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Semantic human activity annotation tool using skeletonized surveillance videos

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.780505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.798407Z digest=sha256:7d080f71022cbb7c42160939bfc6513a2acd70cfb1caf2b35c235583509f3a1f

Observation 5d7d6f4e-e9cc-4acd-afd0-3dca5081d47a · outbound

This paper cites Leveraging spatio- temporal dependency for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Leveraging spatio- temporal dependency for skeleton-based action recognition

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.771164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.801422Z digest=sha256:a690abb8130f1ff6a9581ef855f5f82d756d102101973d80d93495408d277a8b

Observation c5fc29d7-9e66-4221-a32f-9b37daef1588 · outbound

This paper cites Hierarchically decomposed graph convolutional net- works for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Hierarchically decomposed graph convolutional net- works for skeleton-based action recognition

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.749448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.804343Z digest=sha256:3cd77c93dee05c2070d78401688a219aa9ac1d7601bece6f26c985637928ef25

Observation f27717d7-7387-49db-8e17-5036a2deb8e1 · outbound

This paper cites Actional-structural graph convolutional networks for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Actional-structural graph convolutional networks for skeleton-based action recognition

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.676225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.807023Z digest=sha256:54224f9f4b95c7559535265093df33b485df5add86d2eb0a5bdf153f9a29934d

Observation fab1bf13-0992-4447-adf6-716f30e2c322 · outbound

This paper cites Kot, and Gang Wang.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Kot, and Gang Wang

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.604802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.809954Z digest=sha256:48630cb34bc50aa9c9a4e46364f8ce66999fc509164a25237a82138618cdc93e

Observation 68ee3035-ebb7-452d-85d1-5173853c95f1 · outbound

This paper cites an unresolved cited work.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T14:58:38.488639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.813221Z digest=sha256:523424976b1da67b544366e104931d53e76fcb83c1bbc7d23a874daba3b91034

Observation 7f705786-90ee-4d2a-970c-0e8ffbec6c1e · outbound

This paper cites Disentangling and unifying graph con- volutions for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Disentangling and unifying graph con- volutions for skeleton-based action recognition

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.389682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.816456Z digest=sha256:71b6ab5c6239a53caef4013daa286bd8c29bb9e5c2a058ac76d5535692f24caa

Observation a3ae567e-9be2-4f93-806a-dad111224dde · outbound

This paper cites Nikam and Aarti G.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Nikam and Aarti G

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.336678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.819791Z digest=sha256:ec63cd9953d3b69916af16d0a8a462d83e1fe37e0263492ee583f1652c57e119

Observation 3189cb56-be12-4b24-877c-d55176eba524 · outbound

This paper cites Iot-based vibration sensor data collection and emergency detection classification using long short term memory.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Iot-based vibration sensor data collection and emergency detection classification using long short term memory

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.326989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.848961Z digest=sha256:8b1fc377044f3ed6286edde738bc771f5dff783c7be95e5b53d5a3186a43bd27

Observation a6620b54-ad4e-4f11-9110-224f71b79f3d · outbound

This paper cites A skeleton-based approach for campus violence detection.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections A skeleton-based approach for campus violence detection

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.255976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.925059Z digest=sha256:9b59f3baca94825214f212995d1b769e75edae54edc92f2cb179473d623df4d6

Observation cf19da1b-4674-4ecd-ae29-bb0f7e5b96c2 · outbound

This paper cites Igformer: Interaction graph transformer for skeleton-based human interaction recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Igformer: Interaction graph transformer for skeleton-based human interaction recognition

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.245326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.961595Z digest=sha256:395ba1b9929440209a8693c569024462d8d0fa8f3927d296df2b4bd30cce7799

Observation b0447972-0a69-4d83-844f-dd2552b10069 · outbound

This paper cites Spa- tial temporal transformer network for skeleton-based ac- tion recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Spa- tial temporal transformer network for skeleton-based ac- tion recognition

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.195119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.964812Z digest=sha256:89bd81474ee668086677a37677a2a83d09ac4e0bf610339d618771e342db4570

Observation eddbe566-9c5d-42d5-b12b-1972454a2321 · outbound

This paper cites Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T14:58:36.968114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:58:36.968114Z digest=sha256:88e10e1c3a712d5539a0c153e5f1775b0d6eee912cc6c3e4e2f21b4160c99208

Observation 78a5566f-3fcb-48d2-8768-2c1d3e3caf05 · outbound

This paper cites Review on synergizing the metaverse and ai-driven synthetic data: enhancing virtual realms and activity recognition in computer vision.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Review on synergizing the metaverse and ai-driven synthetic data: enhancing virtual realms and activity recognition in computer vision

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.149229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.972177Z digest=sha256:7df1846846e056a326701f992eb7c1614f24588202baf737218e63c980e6a57f

Observation 4bdbf1fe-ee74-48d2-9bb7-2521f8809e6d · outbound

This paper cites Ntu rgb+d: A large scale dataset for 3d human activity anal- ysis.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Ntu rgb+d: A large scale dataset for 3d human activity anal- ysis

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.139565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.975015Z digest=sha256:f98498bb82255927302b04ea62aa60121aab0c53426dde1dae65b001e8e6a640

Observation 9ea1943d-36d0-4c69-b4ce-6d0e4f7253fb · outbound

This paper cites Two- stream adaptive graph convolutional networks for skeleton- based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Two- stream adaptive graph convolutional networks for skeleton- based action recognition

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.130575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.978570Z digest=sha256:3dbc86b16e7a0d1e9ff6e3f3713e058d056d1d3de0226a74faa8d0bda02688f4

Observation a0620d60-5813-475a-986e-d6ee718f6db9 · outbound

This paper cites Skeleton-based action recognition with directed graph neu- ral networks.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Skeleton-based action recognition with directed graph neu- ral networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.080354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.981739Z digest=sha256:9e486e328f404d005d6c59cd7b1341eb2555527f2745f4282f3648f618cc3e4a

Observation 213390a9-a486-4db6-8e66-7fffe031dbe4 · outbound

This paper cites Decou- pled spatial-temporal attention network for skeleton-based action-gesture recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Decou- pled spatial-temporal attention network for skeleton-based action-gesture recognition

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.027980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.984996Z digest=sha256:9a40b8fe3c4f2909e0e35d26a5b1917f07ddd30250cbf3395d0a34343a0edcb5

Observation 2bc8dd0d-4098-4ff9-ac67-676955f3f4dd · outbound

This paper cites Skeleton-based action recognition with multi-stream adap- tive graph convolutional networks.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Skeleton-based action recognition with multi-stream adap- tive graph convolutional networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.017980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.988196Z digest=sha256:7614389eb3c9b217bf9badf7a5305c2d0cf34cd6d614225c5ee05340b30911c8

Observation 7944faa9-1f28-4e2e-878d-d94495cff8d8 · outbound

This paper cites Two-stream con- volutional networks for action recognition in videos.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Two-stream con- volutional networks for action recognition in videos

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:38.007267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.991311Z digest=sha256:2c434430e00c3c138106671053f0322eb056dd66c0c6d7178e11de4958ab30cf

Observation 79909b5b-2f5e-4eaf-b674-d794eeca8f41 · outbound

This paper cites Constructing stronger and faster baselines for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Constructing stronger and faster baselines for skeleton-based action recognition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.928615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.994341Z digest=sha256:3c7da7b34e3bb235b5fcc733e1ef033be509c258368845042d3eb83dba0a72e9

Observation 8cf10525-84d1-4f0c-92da-ada09e0cb3c5 · outbound

This paper cites Skeleton-based human activity recognition for video surveillance.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Skeleton-based human activity recognition for video surveillance

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.887725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:36.997115Z digest=sha256:4c17db75dbcd0b01056d1fba4a70bc9f21e1e2bfb116793086e6221e45de453c

Observation 64bb8ce3-79dc-4280-8cfc-3ac28a95f52c · outbound

This paper cites Predicting human poses via recurrent attention network.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Predicting human poses via recurrent attention network

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.859921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.000149Z digest=sha256:064b89de093aece204788ea7bf7d494792acbd54272becca895c2e14b4d47b4c

Observation 7035df5d-c419-4ec0-bbdf-adf71632768d · outbound

This paper cites Attention is all you need.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Attention is all you need

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T14:58:37.042737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:58:37.042737Z digest=sha256:d3c87659c62a0fd4c32a0507b0c03924963ff3ea861f7a5ccf221435d57e8c0a

Observation 5a263b6c-6e93-4c94-b0c7-6ec5de1e814c · outbound

This paper cites Differential recurrent neural networks for action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Differential recurrent neural networks for action recognition

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.758455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.085542Z digest=sha256:1239f681c89c984b0c95487a63fd5b77737431eae2958de6782ac1eb31b2ce8e

Observation f531f3ab-969c-4bcb-8008-af8375204e6d · outbound

This paper cites Cross-view action modeling, learning, and recog- nition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Cross-view action modeling, learning, and recog- nition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.749325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.097538Z digest=sha256:4ef85ccaf559b29ec5afa9f6eefa828279aaa4af311bf6da0c3c10ba93904982

Observation 4db57de9-c4bd-4b60-bc79-d347764af42c · outbound

This paper cites Iip-transformer: Intra-inter-part transformer for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Iip-transformer: Intra-inter-part transformer for skeleton-based action recognition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.740525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.124814Z digest=sha256:0f8ab975de0b26f6e6c1cec7c48d96d53ad5b2e707e7f099f51b065ef5c0daa2

Observation c1ee53d6-6a34-48d7-8541-430679771e61 · outbound

This paper cites Dynamic spatial-temporal hypergraph con- volutional network for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Dynamic spatial-temporal hypergraph con- volutional network for skeleton-based action recognition

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.730913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.136943Z digest=sha256:03cadb28fc64d67a059594ee6062a9c073285e99e802387a29ffcd699ed33d9d

Observation 08f07e14-f5e3-4515-b1aa-dd71fddb21a9 · outbound

This paper cites Visual- semantic network: a visual and semantic enhanced model for gesture recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Visual- semantic network: a visual and semantic enhanced model for gesture recognition

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.637559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.140826Z digest=sha256:fa3d30f4f51398e4c7ef5f6650e6ff499669951bb0f3a5d9c1848152d169e9fb

Observation e927e31e-a502-4d3f-8c95-9c3a98ce8269 · outbound

This paper cites Graph2net: Perceptually-enriched graph learning for skeleton-based ac- tion recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Graph2net: Perceptually-enriched graph learning for skeleton-based ac- tion recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.597130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.144065Z digest=sha256:9edd6dc64bd6efd93d93a766812d41ac60b99d23f2d04830c50298bb35ff6f11

Observation 44d6dc68-81b5-4d51-9ab8-102dbbfeea3e · outbound

This paper cites Dynamic semantic-based spa- tial graph convolution network for skeleton-based human ac- tion recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Dynamic semantic-based spa- tial graph convolution network for skeleton-based human ac- tion recognition

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.588712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.147609Z digest=sha256:50852ef7d61ac25d6f23135fd3cf34e3f2c9407ea5cd01a724e54d22bf8d8871

Observation a187eda5-dbea-48e4-b4f9-f857af6ffd04 · outbound

This paper cites Spatial tempo- ral graph convolutional networks for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Spatial tempo- ral graph convolutional networks for skeleton-based action recognition

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.578959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.150561Z digest=sha256:70849097f0d52a22da28cbacc7c7c731e49b33761ba0c2d2830981560e77d0ac

Observation 744dc1e3-96ba-4071-8145-6a358f1acda6 · outbound

This paper cites Two-stream transformer encoders for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Two-stream transformer encoders for skeleton-based action recognition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.543719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.153535Z digest=sha256:95654c6f6a65a9524eaeb6158f29a446c0119288335fb026db7ccae2609befc9

Observation 8326465c-007a-441b-9f0c-6edd7425fb1e · outbound

This paper cites Semantics-guided neural networks for efficient skeleton-based human action recogni- tion.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Semantics-guided neural networks for efficient skeleton-based human action recogni- tion

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.454830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.156500Z digest=sha256:89ba2a5fa19f9cca9540f695a2a146021d44e77badefa8b332427e9762be3874

Observation 257d4102-a95b-4048-9bc0-19a195228421 · outbound

This paper cites Stst: Spatial-temporal specialized transformer for skeleton- based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Stst: Spatial-temporal specialized transformer for skeleton- based action recognition

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.444877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.159688Z digest=sha256:0c66e6fd302072daf048f781f3ed12fde4d40a3e03ee9766a7b64291bc0882cd

Observation b6daf616-4b03-4d09-bcff-2e4cdf581962 · outbound

This paper cites Learn- ing discriminative representations for skeleton based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Learn- ing discriminative representations for skeleton based action recognition

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.435316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.163448Z digest=sha256:1a2a18451a71f74e68986cca0980b9fa39bc78510e4d8115ffd6c740a0c99495

Observation 2ee71262-40ea-4c81-94a8-d725deca4449 · outbound

This paper cites Blockgcn: Redefine topology aware- ness for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Blockgcn: Redefine topology aware- ness for skeleton-based action recognition

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.425160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.166221Z digest=sha256:e13cc174131d64f3bd60aba65d6c55c2ac1cbfc3a127c65270d9520ba4c5eb6f

Observation 47bce056-aff9-4f3f-80e7-60f01a19e5e2 · outbound

This paper cites Selective hypergraph convolutional networks for skeleton-based action recognition.

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections Selective hypergraph convolutional networks for skeleton-based action recognition

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:58:37.339693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:58:37.254075Z digest=sha256:8186024276b74a38fef479bee543a0fa521330c7dd0ba0cb3fccf2016e1d07f9

Pith citing papers

No inbound Pith citation observations are available.