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Paper Citation Record · LEDGER

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2502.01684.

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

pith.paper-citation-record.v1
2502.01684 v4

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:05:41.103236Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation d1f3b008-ff4a-45a3-b0c6-d9b4f711f5c1 · outbound

This paper cites A comprehensive survey on graph neural networks.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning A comprehensive survey on graph neural networks

Reference 1

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Observation f60d763c-2db7-4d83-94aa-a0652781b1cc · outbound

This paper cites Beyond real-world benchmark datasets: An empirical study of node classification with gnns.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Beyond real-world benchmark datasets: An empirical study of node classification with gnns

Reference 2

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Observation 4f1ae9c1-4743-4041-abe8-933ac1dbb2ab · outbound

This paper cites Link prediction based on graph neural networks.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Link prediction based on graph neural networks

Reference 3

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Observation 3dad5771-d077-4fd9-b0a4-f9176fe86533 · outbound

This paper cites Deep Graph Infomax.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Deep Graph Infomax

Reference 4

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Observation 002abdbf-0e40-4f8a-979e-c6bec92a0d89 · outbound

This paper cites Deep Graph Contrastive Representation Learning.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Deep Graph Contrastive Representation Learning

Reference 5

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Observation 378ea1e6-a4c4-4c38-8838-62e37eb70615 · outbound

This paper cites Graph aggregating-repelling network: Do not trust all neighbors in heterophilic graphs.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Graph aggregating-repelling network: Do not trust all neighbors in heterophilic graphs

Reference 6

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Observation b21821b1-8b82-4500-9e46-80d1cf5d4afd · outbound

This paper cites Automated Self-Supervised Learning for Graphs.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Automated Self-Supervised Learning for Graphs

Reference 7

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Observation b4727c48-21f2-4cff-a510-9370434ce3e3 · outbound

This paper cites From canonical correlation analysis to self- supervised graph neural networks.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning From canonical correlation analysis to self- supervised graph neural networks

Reference 8

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Observation 31100dda-704e-4e47-8ec8-7e7ac281a1cd · outbound

This paper cites Graph- mae: Self-supervised masked graph autoencoders.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Graph- mae: Self-supervised masked graph autoencoders

Reference 9

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Observation 2ac676f0-cce9-4cbd-a065-763bb06fe80d · outbound

This paper cites Con- trastive multi-view representation learning on graphs.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Con- trastive multi-view representation learning on graphs

Reference 10

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Observation a727fe50-c331-44d6-aa9b-c62d045ba1c8 · outbound

This paper cites Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Reference 11

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Observation 0b0add9b-b0df-47c4-b1d6-91d90bae9461 · outbound

This paper cites Eliciting structural and semantic global knowledge in unsupervised graph contrastive learning.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Eliciting structural and semantic global knowledge in unsupervised graph contrastive learning

Reference 12

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Observation 45f9da46-00f7-44a6-8aad-cbd0064a0d5d · outbound

This paper cites Large-Scale Representation Learning on Graphs via Bootstrapping.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 13

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Observation df95881f-bf9e-4ee9-a45c-4941e1892024 · outbound

This paper cites Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

Reference 14

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Observation 26acc9ea-67cc-4732-b974-36201e6d3648 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Self-supervised learning from images with a joint-embedding predictive architecture

Reference 15

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Observation d122c1c0-9f44-4dbd-8e2d-34fc02d552a3 · outbound

This paper cites A-JEPA: Joint-Embedding Predictive Architecture Can Listen.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning A-JEPA: Joint-Embedding Predictive Architecture Can Listen

Reference 16

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Observation 1bde13dc-5ce2-45d0-b18d-d9ab844e98f6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Adam: A Method for Stochastic Optimization

Reference 17

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Observation bb2b9909-a719-4ad6-a57c-27de2159060b · outbound

This paper cites Collective classification in network data.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Collective classification in network data

Reference 18

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Observation 2cf87792-95f4-422f-80e4-0f4d57e6cc27 · outbound

This paper cites Query-driven active surveying for collective classification.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Query-driven active surveying for collective classification

Reference 19

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Observation c6148e38-7f35-4828-a09c-046c6e44aa76 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Pitfalls of Graph Neural Network Evaluation

Reference 20

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Observation 78e301e1-2a1f-4b4a-9cd5-a2de3fbd2800 · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 21

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Observation 79a21be4-590c-4fc6-9b43-bbc28ebad7e8 · outbound

This paper cites Graph Attention Networks.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Graph Attention Networks

Reference 22

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Observation 5f53dca5-c248-43e5-894b-cc1bf484ed6b · outbound

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

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 23

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Observation 59d4dc44-f60c-4216-90f1-ccf4747bdc0b · outbound

This paper cites Simplifying graph convolutional networks.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Simplifying graph convolutional networks

Reference 24

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Observation af52e60a-ba2b-4bd4-b000-572be276f223 · outbound

This paper cites Induc- tive representation learning on large graphs.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Induc- tive representation learning on large graphs

Reference 25

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Observation 9072a440-9e2c-4c04-b8dc-2c88861ab636 · outbound

This paper cites Simple unsupervised graph representa- tion learning.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Simple unsupervised graph representa- tion learning

Reference 26

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Observation c16df188-29ff-43ea-bfc2-7c0c5f436e5e · outbound

This paper cites Graph representation learning via graphical mutual in- formation maximization.

Predict, Cluster, Refine: A Joint Embedding Predictive Self-Supervised Framework for Graph Representation Learning Graph representation learning via graphical mutual in- formation maximization

Reference 27

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Pith citing papers

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