Random Walk Guided Hyperbolic Graph Distillation | Paper Citation Record

Observation 5fa8ae02-8fe2-40cb-8e37-7c7d8bb48238 · outbound

This paper cites Multi-relational poincar´e graph em- beddings.

Random Walk Guided Hyperbolic Graph Distillation Multi-relational poincar´e graph em- beddings

Reference 1

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Observation 8552d3df-77b8-4d39-a179-d335848391d2 · outbound

This paper cites For GDEM, while it can capture the commute time for a few pairs of nodes, there remains a significant gap in capturing the overall distribution of values in the original graphs.

Random Walk Guided Hyperbolic Graph Distillation For GDEM, while it can capture the commute time for a few pairs of nodes, there remains a significant gap in capturing the overall distribution of values in the original graphs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.441506Z

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Observation f9f156ec-a5b7-45c0-ab83-e54a6504792a · outbound

This paper cites A general framework for graph sparsification.

Random Walk Guided Hyperbolic Graph Distillation A general framework for graph sparsification

Reference 7

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Observation 64ea36df-b789-4dda-bf93-5323527bc0c7 · outbound

This paper cites Gc4nc: A benchmark framework for graph condensation on node classifica- tion with new insights.

Random Walk Guided Hyperbolic Graph Distillation Gc4nc: A benchmark framework for graph condensation on node classifica- tion with new insights

Reference 12

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Observation 7e330388-91df-4184-8c85-6e7bd8da95f4 · outbound

This paper cites The hidden flow structure and metric space of network embedding algorithms based on random walks.

Random Walk Guided Hyperbolic Graph Distillation The hidden flow structure and metric space of network embedding algorithms based on random walks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.995652Z

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Observation 00d3379a-107d-481c-9e3b-b876cd089ff2 · outbound

This paper cites A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.

Random Walk Guided Hyperbolic Graph Distillation A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 15

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Observation 240a6405-a856-4c09-a50a-352ad120dbec · outbound

This paper cites Spectral gaps of random graphs and applications.

Random Walk Guided Hyperbolic Graph Distillation Spectral gaps of random graphs and applications

Reference 16

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Observation 5d33469e-b06a-440f-9f01-c94f8265d0c7 · outbound

This paper cites Scaling up graph neu- ral networks via graph coarsening.

Random Walk Guided Hyperbolic Graph Distillation Scaling up graph neu- ral networks via graph coarsening

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.938846Z

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Observation fea426db-50fa-45be-8e6e-7b98fd16329e · outbound

This paper cites Adversarial inter-group link injection degrades the fairness of graph neural networks.

Random Walk Guided Hyperbolic Graph Distillation Adversarial inter-group link injection degrades the fairness of graph neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.921214Z

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Observation 5c028d2c-a006-4a50-beea-ab08e00e1f54 · outbound

This paper cites Condensing graphs via one-step gradient matching.

Random Walk Guided Hyperbolic Graph Distillation Condensing graphs via one-step gradient matching

Reference 21

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Observation 0e65351c-c28f-46f7-9258-2bd46a1300d7 · outbound

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

Random Walk Guided Hyperbolic Graph Distillation Semi-Supervised Classification with Graph Convolutional Networks

Reference 22

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Observation 0e284a2a-3694-4ae4-a083-cbb25dbcc6c0 · outbound

This paper cites Predict then propa- gate: Graph neural networks meet personalized pagerank.

Random Walk Guided Hyperbolic Graph Distillation Predict then propa- gate: Graph neural networks meet personalized pagerank

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.887733Z

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Observation 1c7db1d0-21cc-4b05-94d1-c461d10f6690 · outbound

This paper cites Random walk: a modern introduction, volume.

Random Walk Guided Hyperbolic Graph Distillation Random walk: a modern introduction, volume

Reference 24

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Observation 22b5a8ff-727c-4157-9e6e-1a8a46651cf2 · outbound

This paper cites Survey of graph neural net- works and applications.

Random Walk Guided Hyperbolic Graph Distillation Survey of graph neural net- works and applications

Reference 26

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Observation 592be445-bc00-4410-8ea7-eaa353f5d108 · outbound

This paper cites The geometry of graphs and some of its algo- rithmic applications.

Random Walk Guided Hyperbolic Graph Distillation The geometry of graphs and some of its algo- rithmic applications

Reference 27

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Observation 4d73ced8-fa8a-4b6f-994e-5ca6eebfeee8 · outbound

This paper cites Graph Distillation with Eigenbasis Matching.

Random Walk Guided Hyperbolic Graph Distillation Graph Distillation with Eigenbasis Matching

Reference 29

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Observation bc837933-77c8-4db5-a56a-282923c721d4 · outbound

This paper cites Cat: Balanced continual graph learning with graph con- densation.

Random Walk Guided Hyperbolic Graph Distillation Cat: Balanced continual graph learning with graph con- densation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.800941Z

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Observation cc6d2017-a8dd-419f-b2c5-603cb09372cf · outbound

This paper cites GCondenser: Benchmarking Graph Condensation.

Random Walk Guided Hyperbolic Graph Distillation GCondenser: Benchmarking Graph Condensation

Reference 31

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Observation cf18293b-e135-4cd1-b759-94cd1a4159d6 · outbound

This paper cites Spectrally approximating large graphs with smaller graphs.

Random Walk Guided Hyperbolic Graph Distillation Spectrally approximating large graphs with smaller graphs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.780777Z

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Observation fb2361fc-e875-4a9d-9ab1-ccf278ce6ed6 · outbound

This paper cites Random walks on graphs.

Random Walk Guided Hyperbolic Graph Distillation Random walks on graphs

Reference 33

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Observation 4e4dad69-9e6f-4b59-b8d6-bfb1d382ff15 · outbound

This paper cites Poincar ´e embeddings for learning hierarchical rep- resentations.

Random Walk Guided Hyperbolic Graph Distillation Poincar ´e embeddings for learning hierarchical rep- resentations

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.707230Z

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Observation 65c9d6b5-7f77-4845-a45a-7b59679d6a61 · outbound

This paper cites Deepwalk: Online learning of social rep- resentations.

Random Walk Guided Hyperbolic Graph Distillation Deepwalk: Online learning of social rep- resentations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.688516Z

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Observation 58755f6b-3826-45e3-ae8f-712c168c705c · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

Random Walk Guided Hyperbolic Graph Distillation Pitfalls of Graph Neural Network Evaluation

Reference 40

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Observation c31b5402-89ef-49ad-8a67-3144fadfcbc9 · outbound

This paper cites GC-Bench: An Open and Unified Benchmark for Graph Condensation.

Random Walk Guided Hyperbolic Graph Distillation GC-Bench: An Open and Unified Benchmark for Graph Condensation

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:05:44.097057Z

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Observation a1acc439-1a02-4ece-b7d2-b49dc0f56c52 · outbound

This paper cites Arnetminer: Extraction and mining of academic social networks.

Random Walk Guided Hyperbolic Graph Distillation Arnetminer: Extraction and mining of academic social networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.651802Z

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Observation 17468c35-954a-48c7-bc1e-4453faa57d99 · outbound

This paper cites Hitting and commute times in large random neighborhood graphs.

Random Walk Guided Hyperbolic Graph Distillation Hitting and commute times in large random neighborhood graphs

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.614784Z

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Observation a8ebccb7-a1b1-4e02-9f7b-7896f98259d8 · outbound

This paper cites Dataset Distillation.

Random Walk Guided Hyperbolic Graph Distillation Dataset Distillation

Reference 45

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Observation a2c0ea2d-e33b-407b-a80d-3a698aadb5ff · outbound

This paper cites Fast graph condensation with structure- based neural tangent kernel.

Random Walk Guided Hyperbolic Graph Distillation Fast graph condensation with structure- based neural tangent kernel

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.597930Z

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Observation cf51b966-54a6-481a-b8c4-9e14f4f98c27 · outbound

This paper cites Herding dynamical weights to learn.

Random Walk Guided Hyperbolic Graph Distillation Herding dynamical weights to learn

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.579252Z

Source-reported events for the cited work

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Observation 2ce31095-58d9-42a5-9f56-374bccd533b6 · outbound

This paper cites an unresolved cited work.

Random Walk Guided Hyperbolic Graph Distillation Unresolved cited work

Reference 48

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Observation 17f1fa83-a8bb-4ecc-9087-90dbe16f87cd · outbound

This paper cites Simpli- fying graph convolutional networks.

Random Walk Guided Hyperbolic Graph Distillation Simpli- fying graph convolutional networks

Reference 49

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Observation 81667db4-b8f2-45e4-8951-86710f0bf8f4 · outbound

This paper cites Simplifying and empowering transformers for large-graph representations.

Random Walk Guided Hyperbolic Graph Distillation Simplifying and empowering transformers for large-graph representations

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.532223Z

Source-reported events for the cited work

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Observation 4f094491-d5d9-411e-abdb-69b4a9980a42 · outbound

This paper cites Random walks: A review of algorithms and applications.

Random Walk Guided Hyperbolic Graph Distillation Random walks: A review of algorithms and applications

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.513281Z

Source-reported events for the cited work

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Observation 464e55e3-1916-45f5-9244-28cb4d52e39d · outbound

This paper cites Does graph distillation see like vision dataset counter- part? Advances in Neural Information Processing Sys- tems, 36,.

Random Walk Guided Hyperbolic Graph Distillation Does graph distillation see like vision dataset counter- part? Advances in Neural Information Processing Sys- tems, 36,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.493268Z

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Observation 9559f085-2461-4517-b19e-c6511ddb4593 · outbound

This paper cites GraphSAINT: Graph Sampling Based Inductive Learning Method.

Random Walk Guided Hyperbolic Graph Distillation GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 53

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Observation ce54e3ba-1a3b-462f-8782-c18bb1db7628 · outbound

This paper cites Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.

Random Walk Guided Hyperbolic Graph Distillation Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T14:05:43.959764Z

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Observation df92e6ba-6621-4c5c-a81b-325714448d61 · outbound

This paper cites Structure-free graph condensation: From large-scale graphs to condensed graph-free data.

Random Walk Guided Hyperbolic Graph Distillation Structure-free graph condensation: From large-scale graphs to condensed graph-free data

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.475153Z

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Observation 68705a65-7925-4250-9438-bfc799179075 · outbound

This paper cites Once identified, these hyperparameters were applied consistently across all different reduction rates to ensure uniformity in the evaluation.

Random Walk Guided Hyperbolic Graph Distillation Once identified, these hyperparameters were applied consistently across all different reduction rates to ensure uniformity in the evaluation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.457978Z

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Observation 7d068c3f-8659-4a58-b01c-f4bc4c25c289 · outbound

This paper cites M ¨obius transforma- tion and cauchy parameter estimation.

Random Walk Guided Hyperbolic Graph Distillation M ¨obius transforma- tion and cauchy parameter estimation

Reference 1993

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.742304Z

Source-reported events for the cited work

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Observation 9e364113-f99d-4f66-b83a-d77ad6014c08 · outbound

This paper cites Graph Condensation via Receptive Field Distribution Matching.

Random Walk Guided Hyperbolic Graph Distillation Graph Condensation via Receptive Field Distribution Matching

Reference 1995

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Observation 307889cf-255a-43c8-a7fd-930350dd5fae · outbound

This paper cites Wiki-cs: A wikipedia-based benchmark for graph neural networks,.

Random Walk Guided Hyperbolic Graph Distillation Wiki-cs: A wikipedia-based benchmark for graph neural networks,

Reference 1996

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.726124Z

Source-reported events for the cited work

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Observation b019b923-62df-44d0-814f-1d9849dc4609 · outbound

This paper cites The spectral gap of random graphs with given expected degrees.

Random Walk Guided Hyperbolic Graph Distillation The spectral gap of random graphs with given expected degrees

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:45.138446Z

Source-reported events for the cited work

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Observation 92d33567-6b4d-4b68-b0da-846b2a110af5 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Random Walk Guided Hyperbolic Graph Distillation Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 2007

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Observation ebd48b40-d10c-4f40-b04b-d9f06dc674e6 · outbound

This paper cites Graph attention networks.

Random Walk Guided Hyperbolic Graph Distillation Graph attention networks

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.632798Z

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Observation efa0ae7d-7ec2-445c-9054-b37c94e6c986 · outbound

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

Random Walk Guided Hyperbolic Graph Distillation Convolutional neural networks on graphs with fast localized spectral filtering

Reference 2009

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Observation d064e002-8a6c-40a9-ba5e-6a307fe4d424 · outbound

This paper cites Lazy random walks and optimal transport on graphs.

Random Walk Guided Hyperbolic Graph Distillation Lazy random walks and optimal transport on graphs

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.850436Z

Source-reported events for the cited work

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Observation 1455e012-9396-4c25-b967-b80cc20be67c · outbound

This paper cites Hyperbolic neural networks.

Random Walk Guided Hyperbolic Graph Distillation Hyperbolic neural networks

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:45.034545Z

Source-reported events for the cited work

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Observation 1b9bb151-afbc-45c1-afe9-77ca1aaa86dc · outbound

This paper cites Graph simplification and matching using commute times.

Random Walk Guided Hyperbolic Graph Distillation Graph simplification and matching using commute times

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:44.671077Z

Source-reported events for the cited work

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Observation 8c186025-55b5-42c9-a2f0-7c9b63950de8 · outbound

This paper cites Quantifying privacy leakage in graph em- bedding.

Random Walk Guided Hyperbolic Graph Distillation Quantifying privacy leakage in graph em- bedding

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:45.101103Z

Source-reported events for the cited work

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Observation b6b59218-bc3f-4773-9b7c-4b9a3213de21 · outbound

This paper cites Inductive representation learning on large graphs.

Random Walk Guided Hyperbolic Graph Distillation Inductive representation learning on large graphs

Reference 2017

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Source-reported events for the cited work

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Observation 70fcbf67-2c46-4e3d-90c6-f3a7e96fd08d · outbound

This paper cites Multiple sparse graphs condensation.

Random Walk Guided Hyperbolic Graph Distillation Multiple sparse graphs condensation

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:45.014937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07cc0dd8-215b-4321-bf16-9c747d756f56 · outbound

This paper cites Static and dynamic path selection on expander graphs (preliminary version) a random walk approach.

Random Walk Guided Hyperbolic Graph Distillation Static and dynamic path selection on expander graphs (preliminary version) a random walk approach

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:45.154737Z

Source-reported events for the cited work

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Observation 2d2fc533-843c-49e7-be7d-4a249c17e8d6 · outbound

This paper cites Graph neural networks for social recommendation.

Random Walk Guided Hyperbolic Graph Distillation Graph neural networks for social recommendation

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:05:45.080477Z

Source-reported events for the cited work

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Observation 0db0c45b-7b26-47aa-9b8a-ac292886f101 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

Random Walk Guided Hyperbolic Graph Distillation Open graph benchmark: Datasets for machine learning on graphs

Reference 2021

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Observation e6334290-46f1-4eda-8d62-9be135827917 · outbound

This paper cites Graph Condensation for Graph Neural Networks.

Random Walk Guided Hyperbolic Graph Distillation Graph Condensation for Graph Neural Networks

Reference 2022

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Source-reported events for the cited work

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Observation cb96c9ce-108a-4bbe-b803-4f58c458b25d · outbound

This paper cites Graph Condensation: A Survey.

Random Walk Guided Hyperbolic Graph Distillation Graph Condensation: A Survey

Reference 2023

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:05:44.423094Z

Source-reported events for the cited work

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