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Paper Citation Record · LEDGER

Homophily Enhanced Graph Domain Adaptation

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2505.20089.

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

pith.paper-citation-record.v1
2505.20089 v3

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:06.578203Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:31:24.638718Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T19:38:10.561981Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact5
  • verified fuzzy10
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0065618a-0231-4c28-8f7b-1edc440c810e · outbound

This paper cites an unresolved cited work.

Homophily Enhanced Graph Domain Adaptation Unresolved cited work

Reference 1

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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.

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Observation 308ebaef-0f05-436e-ad3c-04481c3f003e · outbound

This paper cites Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space.

Homophily Enhanced Graph Domain Adaptation Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space

Reference 5

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local_arxiv, observed 2026-08-07T14:06:07.816392Z

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.

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Observation b248a1e0-f143-4a60-a45f-b0a88c65d136 · outbound

This paper cites Robust mid-pass filtering graph convolutional networks.

Homophily Enhanced Graph Domain Adaptation Robust mid-pass filtering graph convolutional networks

Reference 6

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raw_fallback, observed 2026-08-07T14:06:09.615291Z

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.

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Observation 99927c3e-03c2-410f-a8eb-78446f7af9aa · outbound

This paper cites Pairwise Alignment Improves Graph Domain Adaptation.

Homophily Enhanced Graph Domain Adaptation Pairwise Alignment Improves Graph Domain Adaptation

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 175b1b56-15dc-4aca-a215-6123922fa10e · outbound

This paper cites Demystifying structural disparity in graph neural networks: Can one size fit all?Advances in neural information processing systems, 36, 2024a.

Homophily Enhanced Graph Domain Adaptation Demystifying structural disparity in graph neural networks: Can one size fit all?Advances in neural information processing systems, 36, 2024a

Reference 11

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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.

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Observation 956f6885-d42f-42e3-b402-1755e292ee90 · outbound

This paper cites Revisiting Graph Neural Networks: All We Have is Low-Pass Filters.

Homophily Enhanced Graph Domain Adaptation Revisiting Graph Neural Networks: All We Have is Low-Pass Filters

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 740a6b3d-f5d9-468d-9d86-a28485efcbdc · outbound

This paper cites Adversarial deep network embedding for cross-network node classification.

Homophily Enhanced Graph Domain Adaptation Adversarial deep network embedding for cross-network node classification

Reference 14

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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.

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Observation 7ee7dd8f-d89a-4881-90e4-87fe6317854f · outbound

This paper cites Unsu- pervised domain adaptive graph convolutional networks.

Homophily Enhanced Graph Domain Adaptation Unsu- pervised domain adaptive graph convolutional networks

Reference 16

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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.

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Observation 84c88170-2d46-408a-abcd-a73f44c8c2aa · outbound

This paper cites Intersectional Unfairness Discovery.

Homophily Enhanced Graph Domain Adaptation Intersectional Unfairness Discovery

Reference 18

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Source-reported events for the cited work

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Observation b3164548-a414-4aa1-af6f-cc5cdf150fea · outbound

This paper cites Graph-Relational Domain Adaptation.

Homophily Enhanced Graph Domain Adaptation Graph-Relational Domain Adaptation

Reference 19

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Observation 9de87c1f-dc91-42cf-b8a3-3977e85eeff7 · outbound

This paper cites and Wang, C.

Homophily Enhanced Graph Domain Adaptation and Wang, C

Reference 20

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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.

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Observation eec8026f-9fd2-4642-9003-66bc11e91075 · outbound

This paper cites Diverse message passing for attribute with het- erophily.

Homophily Enhanced Graph Domain Adaptation Diverse message passing for attribute with het- erophily

Reference 21

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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.

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Observation 01b0ce3f-8036-4d7d-8e31-f56bbb91298e · outbound

This paper cites Cluster-guided contrastive graph clustering network.

Homophily Enhanced Graph Domain Adaptation Cluster-guided contrastive graph clustering network

Reference 22

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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.

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Observation 2f13e0eb-b9f5-4534-87c7-2972edf0ac67 · outbound

This paper cites DANE: Domain Adaptive Network Embedding.

Homophily Enhanced Graph Domain Adaptation DANE: Domain Adaptive Network Embedding

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f15f88a1-08dc-4972-9f11-6c2a5d429e26 · outbound

This paper cites PyGDA: A Python Library for Graph Domain Adaptation.

Homophily Enhanced Graph Domain Adaptation PyGDA: A Python Library for Graph Domain Adaptation

Reference 24

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local_arxiv, observed 2026-08-07T14:06:06.770797Z

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.

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Observation c8da4f08-4cf4-4616-830b-e7cdd6d7740b · outbound

This paper cites an unresolved cited work.

Homophily Enhanced Graph Domain Adaptation Unresolved cited work

Reference 1999

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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.

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Observation a8f4dc0d-9e01-46c8-937c-311011a6ffb9 · outbound

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

Homophily Enhanced Graph Domain Adaptation Semi-Supervised Classification with Graph Convolutional Networks

Reference 2015

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 451c9e44-1823-4423-b9f0-7f44f2078e9b · outbound

This paper cites Unveiling Mode Connectivity in Graph Neural Networks.

Homophily Enhanced Graph Domain Adaptation Unveiling Mode Connectivity in Graph Neural Networks

Reference 2016

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local_arxiv, observed 2026-08-07T14:06:07.613701Z

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.

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Observation 5b8a6ead-37f4-4f40-bb36-5d13c3216a00 · outbound

This paper cites Network Together: Node Classification via Cross network Deep Network Embedding.

Homophily Enhanced Graph Domain Adaptation Network Together: Node Classification via Cross network Deep Network Embedding

Reference 2017

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 09e26837-6d45-4c86-af9e-a4a4dc31f4ac · outbound

This paper cites Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.

Homophily Enhanced Graph Domain Adaptation Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights

Reference 2019

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Unavailable: canonical work link unavailable.

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Observation 88814837-59f1-48bb-866a-e67309a731d0 · outbound

This paper cites Provable Filter for Real-world Graph Clustering.

Homophily Enhanced Graph Domain Adaptation Provable Filter for Real-world Graph Clustering

Reference 2020

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local_arxiv, observed 2026-08-07T14:06:06.993164Z

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.

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Observation 65a3face-30c2-42fd-af20-fd491ee5bc93 · outbound

This paper cites Higher-order Structure Boosts Link Prediction on Temporal Graphs.

Homophily Enhanced Graph Domain Adaptation Higher-order Structure Boosts Link Prediction on Temporal Graphs

Reference 2021

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local_arxiv, observed 2026-08-07T14:06:07.391508Z

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.

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Observation a28820ce-ce06-4f9e-a79f-c4bbb00ef7b7 · outbound

This paper cites One2multi graph autoencoder for multi-view graph clustering.

Homophily Enhanced Graph Domain Adaptation One2multi graph autoencoder for multi-view graph clustering

Reference 2022

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raw_fallback, observed 2026-08-07T14:06:10.005928Z

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.

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Observation 43eefdca-aa6d-4422-a16d-1425c5e0114b · outbound

This paper cites Graph Domain Adaptation: Challenges, Progress and Prospects.

Homophily Enhanced Graph Domain Adaptation Graph Domain Adaptation: Challenges, Progress and Prospects

Reference 2023

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local_arxiv, observed 2026-08-07T14:06:07.195014Z

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.

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Observation 05186426-c95f-4ef2-9039-84c61115350e · outbound

This paper cites Adaptive uni- versal generalized pagerank graph neural network.

Homophily Enhanced Graph Domain Adaptation Adaptive uni- versal generalized pagerank graph neural network

Reference 2024

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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.

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Observation 126df305-e2fd-4f26-ae54-d72b309fee31 · outbound

This paper cites Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding.

Homophily Enhanced Graph Domain Adaptation Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding

Reference 2025

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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.

source=pdf_text observed=2026-08-07T14:06:04.360426Z digest=sha256:e48b70a937ab69b79d4020c9de0eaf4977384e81918b994aca9c588d1608b418

Pith citing papers

Observation 5b6a6bb1-abe1-4fd9-b236-71a0c0d40bf9 · inbound

DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation cites this paper.

DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation Homophily Enhanced Graph Domain Adaptation

Reference 12

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arxiv_id, observed 2026-05-13T19:38:10.563656Z

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.

source=pdf_text observed=2026-05-13T19:34:21.724329Z digest=sha256:7836d6d5754ea0bc2e0e3e71d98719e0a39614d990988c2ca8ac462c82d91a97

Observation c443f842-b918-4887-9658-a4228b3d2fee · inbound

Cross-Resolution Semantic Learning for Graph Domain Adaptation cites this paper.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Homophily Enhanced Graph Domain Adaptation

Reference 93

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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