Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning | Paper Citation Record

Observation 614ba0e6-de0d-4ba3-9c48-b8f790bdaa03 · outbound

This paper cites Performance of latent factor models with extended linear biases,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Performance of latent factor models with extended linear biases,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:30.010845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b071a936-ede5-4d89-a827-97c6fb281790 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Semi-supervised classification with graph convolutional networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.996691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f96bf66-99ce-46d2-b832-eed5787c66f9 · outbound

This paper cites Learning conjoint attentions for graph neural nets,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Learning conjoint attentions for graph neural nets,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.984072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e0aba7f-5584-433d-ba55-8271aa3f1ff6 · outbound

This paper cites Enhancing graph convolutional networks with an efficient k-hop neighborhood approach,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Enhancing graph convolutional networks with an efficient k-hop neighborhood approach,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.971291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7e24e21-3874-4310-bfaa-a6bc6ec6e516 · outbound

This paper cites Attention-mechanism-based neural latent-factorization-of-tensors model,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Attention-mechanism-based neural latent-factorization-of-tensors model,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.958105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c198142-9fd2-41ad-9b20-43844cf77396 · outbound

This paper cites A generalized and fast -converging non -negative latent factor model for predicting user preference s in recommender systems,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A generalized and fast -converging non -negative latent factor model for predicting user preference s in recommender systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.945474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d6a6545-b02b-4be3-8050-73d6204725d5 · outbound

This paper cites Graph linear convolution pooling for learning in incomplete high -dimensional data,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Graph linear convolution pooling for learning in incomplete high -dimensional data,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.932004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb1c79ad-8f72-455a-a452-f1965b9a6e12 · outbound

This paper cites A stochastic approach to analysis of energy-aware DVS-enabled cloud datacenters,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A stochastic approach to analysis of energy-aware DVS-enabled cloud datacenters,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.918137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d9ae8fc8-4da6-4e8f-9f1e-9a065dba896a · outbound

This paper cites Hyper-parameter-evolutionary latent factor analysis for high -dimensional and sparse data from recommender systems,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Hyper-parameter-evolutionary latent factor analysis for high -dimensional and sparse data from recommender systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.905212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cbb8d632-5624-493d-b8ba-f7df13ed119e · outbound

This paper cites Spatial-temporal tensor graph convolutional network for traffic speed prediction,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Spatial-temporal tensor graph convolutional network for traffic speed prediction,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.891367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37dea38e-7a76-42a3-9a25-e93c33533e9e · outbound

This paper cites An L1-and-L2-norm-oriented latent factor model for recommender systems,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning An L1-and-L2-norm-oriented latent factor model for recommender systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.879100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c824864-33c6-4835-92f7-6b123c5a7bb4 · outbound

This paper cites Adaptive divergence-based non-negative latent factor analysis of high -dimensional and incomplete matrices from industrial applications,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Adaptive divergence-based non-negative latent factor analysis of high -dimensional and incomplete matrices from industrial applications,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.865992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39dff8df-6e43-4d01-9ea7-38a8179c926d · outbound

This paper cites A prediction -sampling-based multilayer -structured latent factor model for accurate representation of high - dimensional and sparse data,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A prediction -sampling-based multilayer -structured latent factor model for accurate representation of high - dimensional and sparse data,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.852974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d8eaaa02-dd91-4871-bf6a-fb60dae536a1 · outbound

This paper cites A Novel approach to large-scale dynamically weighted directed network representation,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A Novel approach to large-scale dynamically weighted directed network representation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.840403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f50237e-c9eb-4485-a357-a89f95ab940a · outbound

This paper cites Effects of preprocessing and training biases in latent factor models for recommender systems,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Effects of preprocessing and training biases in latent factor models for recommender systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.827347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f64fe725-d4e4-429f-90fe-8e31b5e520b8 · outbound

This paper cites Two-stream graph convolutional network-incorporated latent feature analysis,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Two-stream graph convolutional network-incorporated latent feature analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.814976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5339cc8-0f5a-4e00-80c2-bb341e1b77b3 · outbound

This paper cites A novel machine learning system for industrial robot arm calibration,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A novel machine learning system for industrial robot arm calibration,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.801160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 96594da3-76e9-4620-8a81-7701c034bd4e · outbound

This paper cites Neulft: A novel approach to nonlinear canonical polyadic decomposition on high -dimensional incomplete tensors,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Neulft: A novel approach to nonlinear canonical polyadic decomposition on high -dimensional incomplete tensors,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.787245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ac0ff52-c0fc-4f0c-9021-620a370601ab · outbound

This paper cites Proximal alternating-direction-method-of-multipliers-incorporated nonnegative latent factor analysis,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Proximal alternating-direction-method-of-multipliers-incorporated nonnegative latent factor analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.774188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61c89a79-0cde-4844-809a-b51569b175b1 · outbound

This paper cites A proportional integral controller-enhanced non-negative latent factor analysis model, IEEE/CAA Journal of Automatica Sinica,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A proportional integral controller-enhanced non-negative latent factor analysis model, IEEE/CAA Journal of Automatica Sinica,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:26.256330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3931ed88-306e-4883-91a5-170be83e063b · outbound

This paper cites Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.760886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5bff35f8-7e95-405d-bed8-8de4dae6a94c · outbound

This paper cites A nonlinear PID-incorporated adaptive stochastic gradient descent algorithm for latent factor analysis,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A nonlinear PID-incorporated adaptive stochastic gradient descent algorithm for latent factor analysis,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.747848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89974041-fce2-4427-9e0f-dec11b4d36cd · outbound

This paper cites Polarized message-passing in graph neural networks,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Polarized message-passing in graph neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.735124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 654110a0-46a0-49ae-9800-9fe21fc2d31c · outbound

This paper cites Po sition-transitional particle swarm optimization-incorporated latent factor analysis,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Po sition-transitional particle swarm optimization-incorporated latent factor analysis,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.722262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 232cb89a-0eae-44c5-b0bb-27805744fd52 · outbound

This paper cites Latent-Factorization-of-Tensors-Incorporated Battery Cycle Life Prediction,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Latent-Factorization-of-Tensors-Incorporated Battery Cycle Life Prediction,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.708977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 607f7091-fb61-4b59-949f-c735583a2ee1 · outbound

This paper cites An adaptive divergence -based non -negative latent factor model,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning An adaptive divergence -based non -negative latent factor model,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.694928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 477cf8d2-97e4-4572-8a07-628920178512 · outbound

This paper cites LightGCN: Simplifying and powering rgraph convolution network for recommendation.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning LightGCN: Simplifying and powering rgraph convolution network for recommendation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.680597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae3b1411-0dd8-4229-82f2-c6e7716cdab6 · outbound

This paper cites A proportional -integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A proportional -integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.667722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5250d88b-dd40-4bae-aa42-1aee53082696 · outbound

This paper cites A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.654358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89797b0a-a521-410f-878b-dc88b0c4f94f · outbound

This paper cites A highly-accurate three-way decision-incorporated online sparse streaming features selection model,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A highly-accurate three-way decision-incorporated online sparse streaming features selection model,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:26.305688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbaa5606-0301-4f84-adc9-afb1cbeded51 · outbound

This paper cites A multilayered-and-randomized latent factor model for high-dimensional and sparse matrices,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A multilayered-and-randomized latent factor model for high-dimensional and sparse matrices,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.641041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f9353d9-55c2-4d8c-bccf-a9b28efacce9 · outbound

This paper cites Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.628339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd173027-ebde-4c80-b6b8-9b9fedf32616 · outbound

This paper cites An α-β-divergence-generalized recommender for highly accurate predictions of missing user preferences,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning An α-β-divergence-generalized recommender for highly accurate predictions of missing user preferences,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.614809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e1d6be2-43c3-42e4-8466-eacfc792f957 · outbound

This paper cites A deep latent factor model for high-dimensional and sparse matrices in recommender systems,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A deep latent factor model for high-dimensional and sparse matrices in recommender systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.601996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61fdd94d-faa2-47db-b5f7-ff31a826e4c0 · outbound

This paper cites Local Search -Based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Local Search -Based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.588765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4fd69c14-507e-490a-b871-fffe5f694d6d · outbound

This paper cites A highly accurate framework for self -labeled semisupervised classification in industrial applications,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A highly accurate framework for self -labeled semisupervised classification in industrial applications,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.574687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7713084d-9f1b-494f-af5e-2081d3f9ae49 · outbound

This paper cites Learning error re finement in stochastic gradient descent-based latent factor analysis via diversified pid controllers,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Learning error re finement in stochastic gradient descent-based latent factor analysis via diversified pid controllers,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:26.339007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26754fcd-f5cb-47fe-a9ea-321382e8e31b · outbound

This paper cites MKG -FENN: a multimodal knowledge graph fused end -to-end neural network for accurate drug -drug interaction prediction,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning MKG -FENN: a multimodal knowledge graph fused end -to-end neural network for accurate drug -drug interaction prediction,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.561440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c036a4b-2f35-45dd-8519-8612c0405d45 · outbound

This paper cites Dynamic graph convolutional networks,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Dynamic graph convolutional networks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.548306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 476c635d-62a3-44fe-ae3b-eafb17493dc2 · outbound

This paper cites EvolveGCN: Evolving graph convolutional networks for dynamic graphs,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning EvolveGCN: Evolving graph convolutional networks for dynamic graphs,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.535182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bcc8dc9b-6d23-411d-b447-7ed70b5c6181 · outbound

This paper cites Temporal web service QoS prediction via Kalman filter -incorporated dynamic latent factor analysis,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Temporal web service QoS prediction via Kalman filter -incorporated dynamic latent factor analysis,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.522202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c48a98c5-17df-4021-9858-86d37017c84a · outbound

This paper cites An Adaptive p-Norms-Based Kinematic Calibration Model for Industrial Robot Positioning Accuracy Promotion,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning An Adaptive p-Norms-Based Kinematic Calibration Model for Industrial Robot Positioning Accuracy Promotion,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.508827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2df8cbd5-c9ce-4530-97ec-3b200aed044f · outbound

This paper cites Online sparse streaming feature selection via decision risk,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Online sparse streaming feature selection via decision risk,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.495364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ad00d33-e203-4f85-83cc-a7d4350156f9 · outbound

This paper cites A State-migration particle swarm optimizer for adaptive latent factor analysis of high-dimensional and incomplete data,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A State-migration particle swarm optimizer for adaptive latent factor analysis of high-dimensional and incomplete data,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.482192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46dbea25-f03b-4463-9110-ad9357d19991 · outbound

This paper cites A fast nonnegative autoencoder -based approach to latent feature analysis on high -dimensional and incomplete data,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A fast nonnegative autoencoder -based approach to latent feature analysis on high -dimensional and incomplete data,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.469046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 069813a2-4815-47bf-baeb-1c2347d156ce · outbound

This paper cites A Kalman-filter-incorporated latent factor analysis model for temporally dynamic sparse data,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A Kalman-filter-incorporated latent factor analysis model for temporally dynamic sparse data,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.455772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6421f723-2877-445f-a405-a4432f35edbc · outbound

This paper cites DySAT: deep neural representation learning on dynami c graphs via self -attention networks,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning DySAT: deep neural representation learning on dynami c graphs via self -attention networks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.404698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c3bc409-af48-4855-aed9-56d2e7c8aa1e · outbound

This paper cites Pseudo gradient-adjusted particle swarm optimization for accurate adaptive latent factor analysis,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Pseudo gradient-adjusted particle swarm optimization for accurate adaptive latent factor analysis,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.247535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff5c9473-14e1-4897-8428-73943a8e5355 · outbound

This paper cites Neural tucker factorization,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Neural tucker factorization,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:29.109569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e55d7184-ceb6-4451-a725-ba3491995bc0 · outbound

This paper cites Non-negative latent factor model based on β-divergence for recommender systems,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Non-negative latent factor model based on β-divergence for recommender systems,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:28.925933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a5d0890-7d8a-4f08-8964-253efeaed5d9 · outbound

This paper cites An outlier-resilient autoencoder for representing high-dimensional and incomplete data,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning An outlier-resilient autoencoder for representing high-dimensional and incomplete data,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:26.403336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 282b403e-ce50-4945-a69e-c80a04307f8d · outbound

This paper cites GT-A2T: Graph tensor alliance attention network ,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning GT-A2T: Graph tensor alliance attention network ,

Reference 52

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:57:26.742831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8735c53a-b983-4293-a27f-30a7d0f474c5 · outbound

This paper cites Symmetry -constrained Non-negative Matrix Factorization Approach for Highly -Accurate Community Detection,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Symmetry -constrained Non-negative Matrix Factorization Approach for Highly -Accurate Community Detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:28.779579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5323c23-fd96-4a9f-926d-0fe00a552662 · outbound

This paper cites Self-training semi -supervised classification based on density peaks of data,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Self-training semi -supervised classification based on density peaks of data,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:28.663621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fc7aea57-7029-4e59-ba3c-1cbd0f5178f3 · outbound

This paper cites SDGNN: symmetry-preserving dual-stream graph neural networks,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning SDGNN: symmetry-preserving dual-stream graph neural networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:28.551763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ffacdc8-2a77-49ce-91c6-48f0512784d4 · outbound

This paper cites Accelerated Non-negative Latent Factor Analysis on High -Dimensional and Sparse Matrices via Generalized Momentum Method,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Accelerated Non-negative Latent Factor Analysis on High -Dimensional and Sparse Matrices via Generalized Momentum Method,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:28.431877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c655f72-2e3a-49c3-8051-935d4a8bedca · outbound

This paper cites Improving network topology -based protein interactome mapping via collaborative filtering,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Improving network topology -based protein interactome mapping via collaborative filtering,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:28.295918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5cbc1257-2ab2-4046-bd74-0f517d003b04 · outbound

This paper cites Recursion -and-Fuzziness Reinforced Online Sparse Streaming Feature Selection,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Recursion -and-Fuzziness Reinforced Online Sparse Streaming Feature Selection,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:26.434022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c0d73c4-a641-48da-83a4-b2218a081c8f · outbound

This paper cites Algorithms of unconstrained non-negative latent factor analysis for recommender systems,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Algorithms of unconstrained non-negative latent factor analysis for recommender systems,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:28.166935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d052ef9-5dfc-464c-9d67-d8bd857c0f28 · outbound

This paper cites Adaptively-accelerated parallel stochastic gradient descent for high -dimensional and incomplete data representation learning,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Adaptively-accelerated parallel stochastic gradient descent for high -dimensional and incomplete data representation learning,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:28.055796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9055126f-e729-49fc-8348-b869447b4c28 · outbound

This paper cites Symmetry and nonnegativity-constrained matrix factorization for community detection,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Symmetry and nonnegativity-constrained matrix factorization for community detection,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:27.950922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8a4235d-665d-4613-86e1-b082633b4787 · outbound

This paper cites Randomized latent factor model for high -dimensional and sparse matrices from industrial applications,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Randomized latent factor model for high -dimensional and sparse matrices from industrial applications,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:27.845596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4518061-b1d6-4b5b-aea2-1a6b543ceca5 · outbound

This paper cites A node-collaboration-informed graph convolutional network for highly accurate representation to undirected weighted graph,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A node-collaboration-informed graph convolutional network for highly accurate representation to undirected weighted graph,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:26.455443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7571a3be-cb38-4139-ab10-257c97129429 · outbound

This paper cites Symmetry and graph bi-regularized non-negative matrix factorization for precise community detection,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Symmetry and graph bi-regularized non-negative matrix factorization for precise community detection,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:27.724261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7573a050-2b3a-412c-a563-3005b7404c45 · outbound

This paper cites Vibration Control using A Robust Input Shaper via Extended Kalman Filter-Incorporated Residual Neural Network,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Vibration Control using A Robust Input Shaper via Extended Kalman Filter-Incorporated Residual Neural Network,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:27.614503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81925efb-8dc3-4b1c-bd1d-f8cd7aba27fc · outbound

This paper cites A two-stream light graph convolution network -based latent factor model for accurate cloud service qos estimation ,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning A two-stream light graph convolution network -based latent factor model for accurate cloud service qos estimation ,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:27.489252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5badd8d7-3517-4ee9-b08c-cbcae380c1b5 · outbound

This paper cites Analysis of students’ positive emotion and smile intensity using sequence-relative key-frame labeling and deep-asymmetric convolutional neural network,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Analysis of students’ positive emotion and smile intensity using sequence-relative key-frame labeling and deep-asymmetric convolutional neural network,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:27.339197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ae7b37c-06e7-46bf-be29-65402c381294 · outbound

This paper cites Constraint-induced symmetric nonnegative matrix factorization for accurate community detection,.

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning Constraint-induced symmetric nonnegative matrix factorization for accurate community detection,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:27.200230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers