Paper Citation Record · LEDGER

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2504.17276.

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

pith.paper-citation-record.v1
2504.17276 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:48:41.387885Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy16
unresolved15
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ccecca9-fee1-4a4f-afdc-6e255e100ac9 · outbound

This paper cites Inductive representation learning on large graphs,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Inductive representation learning on large graphs,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:43.607184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 319ebe78-5cbe-40d8-9378-f59ab617eba0 · outbound

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

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:40.426518Z

Source-reported events for the cited work

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Observation 98a7a965-f60b-48af-9094-96ec290ed826 · outbound

This paper cites Graph attention networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Graph attention networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:40.497449Z

Source-reported events for the cited work

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Observation 1ea73e65-128e-4944-8d58-6f7130156b41 · outbound

This paper cites Towards locality-aware meta-learning of tail node embeddings on networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Towards locality-aware meta-learning of tail node embeddings on networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:43.457534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 809aa41e-6daf-4ab6-b5a7-2cc50a966161 · outbound

This paper cites Tail-gnn: Tail-node graph neural networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Tail-gnn: Tail-node graph neural networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:40.510496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75df07b8-eb8e-4594-9781-107aef81593b · outbound

This paper cites Blade: Biased neighborhood sampling based graph neural network for directed graphs,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Blade: Biased neighborhood sampling based graph neural network for directed graphs,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:43.324913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2ef72ef-c1a6-4dfb-a198-60f4a74bd44a · outbound

This paper cites Sailor: Structural augmentation based tail node representation learning,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Sailor: Structural augmentation based tail node representation learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:43.225841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e2dcb89-351d-4579-bfe7-21d13dfef95c · outbound

This paper cites Representation learning for scale-free networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Representation learning for scale-free networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:43.207186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b408700-21f4-4db6-82f9-37a69dab69b8 · outbound

This paper cites Cengcn: Centralized convolutional networks with vertex imbalance for scale-free graphs,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Cengcn: Centralized convolutional networks with vertex imbalance for scale-free graphs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:43.066528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f853c57-a86c-4c59-9d9a-13fa9bc3c0da · outbound

This paper cites Is Homophily a Necessity for Graph Neural Networks?.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Is Homophily a Necessity for Graph Neural Networks?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:40.722869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 555a9c32-56c1-4216-b56e-df168d763007 · outbound

This paper cites Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Two sides of the same coin: Heterophily and oversmoothing in graph convolutional neural networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:40.729375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffc6ee78-ccd6-4af6-a06a-8ac0aaea6b99 · outbound

This paper cites Net: Degree-specific graph neural networks for node and graph classification,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Net: Degree-specific graph neural networks for node and graph classification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.968908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d6601525-54ba-46b8-bf8c-bedd7ad1724b · outbound

This paper cites Investigating and mitigating degree-related biases in graph convoltuional networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Investigating and mitigating degree-related biases in graph convoltuional networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:40.845322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4070235-cdd9-48d1-be2f-f16505aff3f6 · outbound

This paper cites Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:40.889613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c3f56ce-6a8f-43fe-a943-bf45ba8b83ba · outbound

This paper cites Grace: Graph self-distillation and completion to mitigate degree-related biases,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Grace: Graph self-distillation and completion to mitigate degree-related biases,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.840010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c821386f-c0eb-4208-8f5e-27da0b38050e · outbound

This paper cites Balancing augmentation with edge utility filter for signed graph neural networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Balancing augmentation with edge utility filter for signed graph neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.711855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 989f8ff8-2d46-4ac4-af46-75a97b587e1b · outbound

This paper cites Saug: Structural JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 10 imbalance aware augmentation for graph neural networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Saug: Structural JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2021 10 imbalance aware augmentation for graph neural networks,

Reference 17

Resolution: verified exact; doi, observed 2026-08-16T10:48:41.658596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7cc6c143-a85f-4a68-8a0f-b6239860f154 · outbound

This paper cites Beyond low-frequency infor- mation in graph convolutional networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Beyond low-frequency infor- mation in graph convolutional networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.695806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbc8601c-3707-4dda-a2f3-d09eceb12b8b · outbound

This paper cites Adagnn: Graph neural networks with adaptive frequency response filter,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Adagnn: Graph neural networks with adaptive frequency response filter,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.521593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b5ae1bc-6e79-4e8c-bb7f-46cf007deeae · outbound

This paper cites Pc-conv: Unifying homophily and het- erophily with two-fold filtering,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Pc-conv: Unifying homophily and het- erophily with two-fold filtering,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:40.918663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74081891-8c46-431c-a0d9-98897f761909 · outbound

This paper cites Beyond homophily in graph neural networks: Current limitations and effective designs,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Beyond homophily in graph neural networks: Current limitations and effective designs,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:41.011639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ee685e-2620-479a-93c1-2bdb700ba835 · outbound

This paper cites Adaptive Universal Generalized PageRank Graph Neural Network.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Adaptive Universal Generalized PageRank Graph Neural Network

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:41.078421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f0dc6e-5ca2-4a4f-bb07-7814ab53d419 · outbound

This paper cites Beyond smooth- ing: Unsupervised graph representation learning with edge heterophily discriminating,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Beyond smooth- ing: Unsupervised graph representation learning with edge heterophily discriminating,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.482404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81549523-4344-4026-9ec6-da8e61414355 · outbound

This paper cites On the bias of traceroute sampling: or, power-law degree distributions in regular graphs,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks On the bias of traceroute sampling: or, power-law degree distributions in regular graphs,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.347179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa4ff8b0-6373-42db-b0e9-194e9f432650 · outbound

This paper cites The pareto principle: its use and abuse,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks The pareto principle: its use and abuse,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.225682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 042932f8-2eea-4d9e-9ad4-f4a05b5cb499 · outbound

This paper cites Deeper insights into graph convolutional networks for semi-supervised learning,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Deeper insights into graph convolutional networks for semi-supervised learning,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:41.099357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6cb64d6-2534-4f19-a6f9-b4bd7b6a1165 · outbound

This paper cites On proximity and structural role-based embeddings in networks: Misconceptions, techniques, and applications,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks On proximity and structural role-based embeddings in networks: Misconceptions, techniques, and applications,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:42.130052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d94ce5b1-e029-4c3e-8ea7-56e3b08eea3d · outbound

This paper cites Simple and deep graph convolutional networks,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Simple and deep graph convolutional networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:41.234676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a041bd1b-9ecb-44db-9180-1800fcfa511c · outbound

This paper cites A mathematical theory of communication,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks A mathematical theory of communication,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:41.241693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a26223a1-a21c-4564-8573-8305cd742389 · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings,.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Revisiting semi-supervised learning with graph embeddings,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:48:41.891935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7efa8b2-1248-4c77-9487-aec705e5ba37 · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Geom-GCN: Geometric Graph Convolutional Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:41.255105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a7eefd8-f20a-4a87-952c-c3fa357c0fcf · outbound

This paper cites Multilayer perceptron (mlp),.

HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks Multilayer perceptron (mlp),

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T10:48:41.387885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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