Paper Citation Record · LEDGER

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.18720.

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

pith.paper-citation-record.v1
2412.18720 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:36:34.692065Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

verified exact1
verified fuzzy34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddcc8fd1-b6e3-4166-8a08-7a59b305eca0 · outbound

This paper cites Accessed: September 20, 2024.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Accessed: September 20, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.295429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f42c6ee-0f16-4021-8d4b-c93e1374a7c2 · outbound

This paper cites Lightgcl: Simple yet effective graph contrastive learning for recommendation.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Lightgcl: Simple yet effective graph contrastive learning for recommendation

Reference 2

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Source-reported events for the cited work

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Observation 54a86d8e-ead2-4254-9a35-a67ec56a8cef · outbound

This paper cites Structural balance: a generalization of heider’s theory.Psychological review, 63(5):277, 1956.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Structural balance: a generalization of heider’s theory.Psychological review, 63(5):277, 1956

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.269971Z

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Observation 396ec514-2c56-47ed-917b-4e304ee1d160 · outbound

This paper cites Random walk with restart on hypergraphs: fast computation and an application to anomaly detection.Data Min.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Random walk with restart on hypergraphs: fast computation and an application to anomaly detection.Data Min

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.256521Z

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Observation b63688f8-f4f6-40f4-8745-0e5a4e3129c9 · outbound

This paper cites Balance in signed bipartite networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Balance in signed bipartite networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.241001Z

Source-reported events for the cited work

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Observation a1bdaa25-9838-4ebd-806b-db5e0257176a · outbound

This paper cites Signed graph convolutional networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Signed graph convolutional networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.227800Z

Source-reported events for the cited work

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Observation 88f5f242-812f-4f59-837b-8a81f9dccb88 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs node2vec: Scalable feature learning for networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.215865Z

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Observation 8f9f9f78-5025-4b71-85a7-846a50031b69 · outbound

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Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Unresolved cited work

Reference 8

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Observation 876f41e1-9f49-46c8-8b48-25b30637af1c · outbound

This paper cites Maxwell Harper and Joseph A.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Maxwell Harper and Joseph A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.189924Z

Source-reported events for the cited work

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Observation 0e124c2a-a102-4c0f-a581-3b0d060fd899 · outbound

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Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:36:35.177987Z

Source-reported events for the cited work

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Observation 63960de4-e662-4cab-abef-9c48240a6c9a · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommendation.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Lightgcn: Simplifying and powering graph convolution network for recommendation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.165896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 358dbc9b-7594-4759-bcc8-764fcdef624c · outbound

This paper cites Signed bipartite graph neural networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Signed bipartite graph neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.153833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5cac171-a6de-4a98-8d90-cc1b761d9aa9 · outbound

This paper cites Signed graph attention networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Signed graph attention networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.140412Z

Source-reported events for the cited work

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Observation 9e51bab2-36ac-4d55-a0c9-e2c980e05209 · outbound

This paper cites SDGNN: learning node representation for signed directed networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs SDGNN: learning node representation for signed directed networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.125823Z

Source-reported events for the cited work

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Observation 4862e9ac-779c-49cf-94b0-dd483ee22d2a · outbound

This paper cites Zoom-svd: Fast and memory efficient method for extracting key patterns in an arbitrary time range.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Zoom-svd: Fast and memory efficient method for extracting key patterns in an arbitrary time range

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.111830Z

Source-reported events for the cited work

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Observation 02401463-b193-4a09-971f-9616a04b4534 · outbound

This paper cites Random walk-based ranking in signed social networks: model and algorithms.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Random walk-based ranking in signed social networks: model and algorithms

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.097658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 877ceb4f-b124-4653-af38-cabe9addd107 · outbound

This paper cites Personalized ranking in signed networks using signed random walk with restart.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Personalized ranking in signed networks using signed random walk with restart

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.084753Z

Source-reported events for the cited work

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Observation eea392d4-3252-480a-a876-450f65a0a8e6 · outbound

This paper cites Bepi: Fast and memory-efficient method for billion-scale random walk with restart.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Bepi: Fast and memory-efficient method for billion-scale random walk with restart

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.072730Z

Source-reported events for the cited work

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Observation c42785d8-5593-46b3-a559-738999954bf5 · outbound

This paper cites Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.059723Z

Source-reported events for the cited work

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Observation c9db7c59-ae93-4501-8c21-d9c7d6fef511 · outbound

This paper cites Signed Graph Diffusion Network.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Signed Graph Diffusion Network

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:36:34.743386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eaffe717-18d7-4916-b6a5-749fb6300797 · outbound

This paper cites SIDE: representation learning in signed directed networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs SIDE: representation learning in signed directed networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.047297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0acaf2d4-d045-47a8-b049-a193b50aa420 · outbound

This paper cites Learning disentangled representations in signed directed graphs without social assumptions.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Learning disentangled representations in signed directed graphs without social assumptions

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.033197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bcf1611d-91a6-453e-a47f-d2df2b360abe · outbound

This paper cites Universal graph contrastive learning with a novel laplacian perturbation.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Universal graph contrastive learning with a novel laplacian perturbation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.016515Z

Source-reported events for the cited work

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Observation 4065cd8b-cbf8-4fde-9a50-4f14afdc3c16 · outbound

This paper cites Time-aware random walk diffusion to improve dynamic graph learning.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Time-aware random walk diffusion to improve dynamic graph learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:35.000155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab937719-c6dc-4b59-a8f8-64c83b62da5c · outbound

This paper cites Mule: Multi-grained graph learning for multi- behavior recommendation.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Mule: Multi-grained graph learning for multi- behavior recommendation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.983719Z

Source-reported events for the cited work

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Observation cab6e729-ce9a-404e-9385-6a75b16ebcfd · outbound

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

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Deeper insights into graph convolutional networks for semi-supervised learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.967003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91f4de8d-468f-4b0d-90d1-4b12ac3c9529 · outbound

This paper cites Learning signed network embedding via graph attention.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Learning signed network embedding via graph attention

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.952708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 97a35a7c-f82c-4b2d-9448-7ebf8b5b94a2 · outbound

This paper cites McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.939147Z

Source-reported events for the cited work

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Observation 9def8b85-344b-4fbf-8493-dbcf8ca40c2f · outbound

This paper cites A noise-filtering method for link prediction in complex networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs A noise-filtering method for link prediction in complex networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.920459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1d41d5a-01e8-4c98-9c09-bc5e02d17c25 · outbound

This paper cites The pagerank citation ranking: Bringing order to the web.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs The pagerank citation ranking: Bringing order to the web

Reference 31

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Source-reported events for the cited work

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Observation ba834791-d75d-4ed1-83fb-75461f13afca · outbound

This paper cites A comparative study of matrix factorization and random walk with restart in recommender systems.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs A comparative study of matrix factorization and random walk with restart in recommender systems

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.890358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9113c18-8551-4e6e-954e-635908e0d607 · outbound

This paper cites Clustered low rank approximation of graphs in information science applications.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Clustered low rank approximation of graphs in information science applications

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.866989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3207f16e-43c1-4694-bd6a-f987c73dd1cc · outbound

This paper cites The graph neural network model.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs The graph neural network model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.852557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f7304a6-26b1-42c8-be4c-296ea046b124 · outbound

This paper cites BEAR: block elimination approach for random walk with restart on large graphs.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs BEAR: block elimination approach for random walk with restart on large graphs

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.839483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a48ce4e-3fd8-45c2-b255-91aba069988d · outbound

This paper cites SGCL: contrastive representation learning for signed graphs.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs SGCL: contrastive representation learning for signed graphs

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.823448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ddb835e7-c68d-40a9-9572-12517f6a7839 · outbound

This paper cites Link prediction with signed latent factors in signed social networks.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Link prediction with signed latent factors in signed social networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.800303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6062cd1-af49-40b4-8310-d757c9ec3766 · outbound

This paper cites Dual-branch density ratio estimation for signed network embedding.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Dual-branch density ratio estimation for signed network embedding

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.784983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f65b5480-24dd-4d04-a6c8-1f9aebf89200 · outbound

This paper cites Graph contrastive learning with augmentations.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Graph contrastive learning with augmentations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.769633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2a4279cb-e139-46f0-833b-d90bcc31ba93 · outbound

This paper cites Contrastive learning for signed bipartite graphs.

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Contrastive learning for signed bipartite graphs

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:36:34.756429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.