Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T04:56:04.713121Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 0 inbound Pith citation observations for arXiv:2607.03097.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-07-12T04:56:04.713121Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
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100 of 102 outbound references displayed
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Observation 5bf74f45-48f3-4d67-a22c-73f4dd7389c7 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A generalized and fast-converging non-negative latent factor model for predicting user preferences in recommender systems,
Reference 1
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Observation 0e34a3f4-accf-4482-bb9c-6e08fabf1cd4 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Auto-encoding neural tucker factorization,
Reference 2
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Observation ae1513d4-f171-4a58-baf1-4f05ebc142ea · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A proximal-admm-incorporated nonnegative latent-factorization-of-tensors model for representing dynamic cryptocurrency transaction network,
Reference 3
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Observation 941e1a3f-f7ba-4389-a026-33f1c1832b50 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A comprehensive review of parallel optimization algorithms for high-dimensional and incomplete matrix factorization,
Reference 4
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Observation e773925f-0220-4875-942f-e6019f34f639 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Multi-scale collaborative distillation graph neural networks for session-based recommendation,
Reference 5
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Observation c90eb1d2-4660-4eb2-8931-331af3826058 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Adaptively-accelerated parallel stochastic gradient descent for high-dimensional and incomplete data representation learning,
Reference 6
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Observation 8c3f00af-99f3-4b60-8ec3-1cd08798291b · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Semi-supervised classification with graph convolutional networks,
Reference 7
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Observation d0802b60-2c4f-4f52-90cc-3ab9459518d0 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph attention networks,
Reference 8
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Observation e9464de2-60fd-40eb-ad5d-ed4292f114e9 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Inductive representation learning on large graphs,
Reference 9
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Observation 22c4a2b4-8b96-44f5-be50-45105f085f25 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Fastgcn: Fast learning with graph convolutional networks via importance sampling,
Reference 10
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Observation fcfac9de-5319-4922-a2e1-9714c1c21ef7 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graphsaint: Graph sampling based inductive learning method,
Reference 11
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Observation d3b470b7-62fb-4460-80ff-0eb3f9a71c2a · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A node-collaboration-informed graph convolutional network for highly accurate representation to undirected weighted graph,
Reference 12
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Observation 757c9016-b747-46b3-a126-0baac2c64081 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Modularized graph convolutional network,
Reference 13
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Observation 3bd9111c-8ac2-44dd-881c-85e2a7fc08af · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph linear convolution pooling for learning in incomplete high-dimensional data,
Reference 14
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Observation 5c2f53cd-ec11-42fb-a935-befddbb40dc6 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A generalized nesterov-accelerated second-order latent factor model for high-dimensional and incomplete data,
Reference 15
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Observation ca3eccfd-d1a3-4ab6-9fd2-042d20d96085 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph tensor convolutional network,
Reference 16
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Observation 95565a52-416b-4e6c-9f48-c666a5e57894 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Advanced high-order graph convolutional networks with assorted time-frequency transforms,
Reference 17
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Observation 9a7907c9-50a9-45c8-925f-ef6ba526d1df · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Tensor low-rank orthogonal compression for convolutional neural networks,
Reference 18
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Observation 95fd4533-ed59-4941-a154-84fef8a0178e · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Heterogeneous graph attention network,
Reference 19
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Observation fc89be71-68a9-403c-be25-0eb35ebdb1d3 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Heterogeneous graph neural network,
Reference 20
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Observation 7bc6e359-dd65-4803-9d0f-5319a3af62b4 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering MAGNN: metapath aggregated graph neural network for heterogeneous graph embedding,
Reference 21
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Observation fd5160ba-f441-49cf-8f77-3b2c604dda62 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering An attention-based graph neural network for heterogeneous structural learning,
Reference 22
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Observation 5ed8a56b-ab6f-4000-a75a-89df90931888 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Scalable Graph Neural Networks for Heterogeneous Graphs
Reference 23
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Observation 23fc0542-1676-4a96-948d-0b298c59f7d1 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Gt-a2t: Graph tensor alliance attention network,
Reference 24
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Observation 82cf5add-d9d0-4b4a-ad02-9bca26424b8e · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Ncsac: Effective neural community search via attribute-augmented conductance,
Reference 25
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Observation aeb28cf5-0480-40df-aabb-20e204e644f8 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Link-based attributed graph clustering via approximate generative bayesian learning,
Reference 26
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Observation 220ce671-99ef-4103-87c8-b42d7a6884de · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph-based prediction of mirna-drug associations with multisource information and metapath enhancement matrices,
Reference 27
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Observation c559161f-c7a6-452f-a829-6169f55571ff · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A fast nonnegative autoencoder-based approach to latent feature analysis on high-dimensional and incomplete data,
Reference 28
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Observation dc5821e5-f093-4787-a20a-d72545d01dee · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A novel approach to temporal qos estimation via extended kalman filter-incorporated latent feature analysis,
Reference 29
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Observation 53b6e4df-e849-44b4-9da5-a61df38bcb4d · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A robust approach to electricity theft detection via tensor representation-driven contrastive distillation,
Reference 30
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Observation 6ca39e85-131d-4220-b478-da618bef014a · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Temporal web service qos prediction via kalman filter-incorporated dynamic latent factor analysis,
Reference 31
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Observation 7c5c0508-e1cf-4642-858f-248c3555f6dc · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A sampling-neighborhood-regularized latent factorization of tensor for dynamic qos estimation,
Reference 32
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Observation 5fbd7a1b-be7d-4e94-97d4-ccdea18d69f8 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A novel tensor causal convolution network model for highly-accurate representation to spatio-temporal data,
Reference 33
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Observation e81d120c-c403-4650-8217-ba1dcb216c78 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering An adaptively bias-extended non-negative latent factorization of tensors model for accurately representing the dynamic qos data,
Reference 34
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Observation 70dd2834-84ff-41e8-9a6f-626af23a27c4 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Multi-aspect self-attending neural tucker factorization for spatiotemporal representation learning,
Reference 35
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Observation b4383d33-66d9-42f9-9e44-45fd8a57dd3e · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Latent factorization of tensors incorporated battery cycle life prediction,
Reference 36
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Observation e9bb1722-823a-4bc1-b202-36d0302798ee · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Asynchronous parallel fuzzy stochastic gradient descent for high-dimensional incomplete data,
Reference 37
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Observation 4009c544-f88a-459e-93eb-0d337d5e700c · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Discovering spatio-temporal-individual coupled features from nonstandard tensors-a novel dynamic graph mixer approach,
Reference 38
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Observation d18cd6c7-4acb-4ddd-821e-da454b1443f0 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Sgd-dyg: Self-reliant global dependency apprehending on dynamic graphs,
Reference 39
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Observation ea95d7e1-cde9-44a8-8219-35e900bcfd6d · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Knowledge-driven multiple instance learning with hierarchical cluster-incorporated aware filtering for larynx pathological grading,
Reference 40
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Observation 7473478a-1a9a-480a-aacf-8d1860c464ca · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Fmvpci: A multi-view fusion neural network for identifying protein complex via fuzzy clustering,
Reference 41
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Observation 2812934d-6981-49ca-b9f1-090effb19352 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Fuzzy mixture-of-experts aggregation for organoid identification with multi-scale state space features,
Reference 42
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Observation 51627696-15cd-4a2b-9a0f-865989aaffa7 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Analysis of students’ positive emotion and smile intensity using sequence-relative key-frame labeling and deep-asymmetric convolutional neural network,
Reference 43
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Observation 19643a37-c44f-4af3-bdf6-2635e0d34fcf · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Multi metric autoencoder for representing high-dimensional and incomplete data,
Reference 44
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Observation 45d48183-410d-4ad8-981e-1250e4a0e323 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Symmetry and graph bi-regularized non-negative matrix factorization for precise community detection,
Reference 45
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Observation 3b36f18c-100a-41ce-b45e-c1866cc561d4 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Learning accurate representation to nonstandard tensors via a mode-aware tucker network,
Reference 46
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Observation df99c8bf-1644-4ef6-b866-f2100341a27b · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Dynamic stochastic reorientation particle swarm optimization for adaptive latent factor analysis in high- dimensional sparse matrices,
Reference 47
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Observation 67199caa-4716-4499-9d7f-ad5530945da6 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Adaptive pid-incorporated nonnegative latent factor analysis,
Reference 48
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Observation 061c57f0-6f73-47f4-82f8-89ab8db7c8bd · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Non-gradient hash factor learning for high-dimensional and incomplete data representation learning,
Reference 49
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Observation 0a4e58fc-635a-4a3d-a1a0-52ecf60fd757 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A kalman-filter-incorporated latent factor analysis model for temporally dynamic sparse data,
Reference 50
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Observation b5febced-3334-41eb-bf79-f30ce0751714 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Neural non-negative latent factorization of tensors model with acceleration and unconstraint,
Reference 51
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Observation 311bc4d6-9793-4428-b81a-27e5010a95ef · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering An outlier-resilient autoencoder for representing high-dimensional and incomplete data,
Reference 52
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Observation 55b2ef9e-31fb-40b1-a90c-1a7aa85cf481 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A prediction-sampling-based multilayer-structured latent factor model for accurate representation to high- dimensional and sparse data,
Reference 53
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Observation ac7ffccd-e378-4151-afef-8d9ae72129be · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Poskhg: A position-aware knowledge hypergraph model for link prediction,
Reference 54
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Observation 6b9dcea6-4c2c-46d4-a969-3d2c627e17e8 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Few-shot relation prediction of knowledge graph via convolutional neural network with self-attention,
Reference 55
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Observation 5f22ce70-9666-42b3-acfa-660fff56222b · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Label-aware chinese event detection with heterogeneous graph attention network,
Reference 56
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Observation 0d42aecf-d2b7-4a73-9771-ab5f04139b1e · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Meta-learning based few-shot link prediction for emerging knowledge graph,
Reference 57
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Observation 4e31d65a-025a-478b-8972-291005c403e4 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A novel graph oversampling framework for node classification in class-imbalanced graphs,
Reference 58
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Observation 60a1b3f3-e5e0-4cef-80d4-93f67a7cd753 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Multiple types of disease-associated rnas identification for disease prognosis and therapy using heterogeneous graph learning,
Reference 59
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Observation 45fa85c6-b9ab-483b-9905-11376e0a4aa1 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A convolution bias-incorporated nonnegative latent factorization of tensors model for accurate representation learning to dynamic directed graphs,
Reference 60
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Observation 5353026d-0898-4b49-97dc-243f5db29620 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Structure-preserved self-attention for fusion image information in multiple color spaces,
Reference 61
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Observation c2932f90-2d54-478c-b9c2-46b9428bfb57 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A generalized nesterov’s accelerated gradient-incorporated non-negative latent-factorization-of-tensors model for efficient representation to dynamic qos data,
Reference 62
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Observation 7f231bc2-367a-45df-9e36-e8d03111c6b7 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph condensation for graph neural networks,
Reference 63
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Observation 561c1aa6-23a8-4e5e-9bea-6bc3b77848fd · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Learning error refinement in stochastic gradient descent-based latent factor analysis via diversified pid controllers,
Reference 64
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Observation 9229a5bc-fecb-4604-8abf-cc7c2215d7fe · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A fuzzy pid-incorporated stochastic gradient descent algorithm for fast and accurate latent factor analysis,
Reference 65
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Observation d6ac05eb-01ec-4220-8170-a7c0469c3b0c · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Adaptive divergence-based non-negative latent factor analysis of high-dimensional and incomplete matrices from industrial applications,
Reference 66
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Observation f76a0154-50ea-43dd-8420-9c8ec8357df0 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Genetic algorithm-based two-step optimization for precise latent factor analysis,
Reference 67
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Observation 1374a82a-c1c0-4e21-a4c9-74f81fe7b2e8 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A calibrator fuzzy ensemble for highly-accurate robot arm calibration,
Reference 68
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Observation 5b53bc45-1fcb-42e2-8795-c70dac348bd6 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Parallel adaptive stochastic gradient descent algorithms for latent factor analysis of high-dimensional and incomplete industrial data,
Reference 69
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Observation 952813f1-7ee2-4509-8ec0-e07b1bc100bd · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering An adaptive divergence-based non-negative latent factor model,
Reference 70
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Observation 55432f9f-940e-49e5-9213-6f373e5bb5df · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A multilayered-and-randomized latent factor model for high-dimensional and sparse matrices,
Reference 71
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Observation 25c784e9-e65b-487f-bf4d-1f578157437a · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Attention-mechanism-based neural latent-factorization-of-tensors mode,
Reference 72
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Observation 8f46229c-3a82-4a1e-adc1-048edd66a32a · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A robust coevolutionary neural-based optimization algorithm for constrained nonconvex optimization,
Reference 73
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Observation 7c9fe174-9e80-4845-bd73-d7df0f0848a8 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Heterogeneous graph condensation,
Reference 74
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Observation eec6cebb-1918-4790-b1d2-4e1b28c96bdc · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks,
Reference 75
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Observation 843ea0bc-6ca6-479f-9e29-4cab102e7774 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
Reference 76
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Observation 63ccd298-4663-4c4b-97fe-40226f1505d0 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A proportional integral controller-enhanced non-negative latent factor analysis model,
Reference 77
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Observation c577df4b-8734-40ab-88c9-a9e65b378cd5 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A scalable multi-channel sentiment analysis model with enhanced semantic understanding and redundancy reduction,
Reference 78
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Observation 1c267d15-f1ec-4248-8191-0782636be0c2 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Iterative role negotiation via the bi-level gra++ with decision tolerance,
Reference 79
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Observation d814a4f8-3257-4177-91ef-60993b1dee91 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Spectral sparsification of graphs,
Reference 80
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Observation 01973e01-3ef7-440c-8573-b7f85a2801f9 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Spatiotemporal graph neural network-incorporated latent factorization of tensors for dynamic qos estimation,
Reference 81
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Observation 76c8acd4-2b28-4eb5-af9a-4296bd4b02ea · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Herding dynamical weights to learn,
Reference 82
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Observation 54931e7f-7b1c-4e91-b9fb-235a3e6936bf · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Facility location: concepts, models, algorithms and case studies. series: Contributions to management science,
Reference 83
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Observation 246f1228-8d78-4dff-bcee-98a3e438e867 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Heterogeneous graph sparsification for efficient representation learning,
Reference 84
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Observation a1862e6d-3098-481e-9143-86b1869f0174 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Scaling up graph neural networks via graph coarsening,
Reference 85
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Observation 253a53e1-771f-4f2f-b2fa-fc2cf0a43b2d · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Dataset distillation by matching training trajectories,
Reference 86
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Observation f0a00e35-1f9a-47d8-bf9e-38647670aae5 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Dataset Distillation
Reference 87
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Observation 40760b74-3fd0-4438-9171-72742ed29a43 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Dataset condensation with distribution matching,
Reference 88
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Observation 9bf34b5e-e1c2-480f-9a03-3634369e64a9 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Condensing graphs via one-step gradient matching,
Reference 89
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Observation 6402f450-0b50-46f8-b848-509dc97c2164 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Structure-free graph condensation: From large-scale graphs to condensed graph-free data,
Reference 90
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Observation d24963fb-ab7a-4b64-9d90-9bb3fe21df85 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph Distillation with Eigenbasis Matching
Reference 91
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Observation 4334b2a1-0cee-4f9b-a539-8fd3f901b6fa · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph distillation with eigenbasis matching,
Reference 92
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Observation af3b36ff-0608-49dd-979d-59b2f76f015a · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph Condensation via Receptive Field Distribution Matching
Reference 93
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Observation b962b8c9-53b4-41ee-ba39-25c31071638b · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Graph condensation for open-world graph learning,
Reference 94
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Observation c804ef49-4d72-413f-ba00-6a7c6bca900e · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition
Reference 95
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Observation ed4adfee-be42-4db0-b0a7-81a00b26b399 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering RobGC: Towards Robust Graph Condensation
Reference 96
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Observation f5c50f97-f332-4af1-9c8a-5c1db8b277b4 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Bonsai: Gradient-free graph condensation for node classification,
Reference 97
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Observation a749d986-119e-4030-be46-51a14379fda5 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Efficient graph condensation via gaussian process,
Reference 98
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Observation e1cfc485-0e69-4b03-9cd6-7219456318b2 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering A distributed adaptive second-order latent factor analysis model,
Reference 99
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Observation 86e9c978-000f-466f-9ed3-069360a179e2 · outbound
Heterogeneous Graph Condensation via Role-Aware Clustering Adapting precomputed features for efficient graph condensation,
Reference 100
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No inbound Pith citation observations are available.