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Paper Citation Record · LEDGER

InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:1908.01000.

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

pith.paper-citation-record.v1
1908.01000 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:31:39.494508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:24:04.587048Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d86d7217-5f52-4ed8-8213-5b6b0ab966e9 · inbound

Disentangled Generative Graph Representation Learning cites this paper.

Disentangled Generative Graph Representation Learning InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:25:51.590423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T21:23:33.474134Z digest=sha256:069f2b5319a3ab08475cd089319a522aa608402bba843cf2523fca3aa62876ca

Observation a3088a84-760d-4c36-a10c-1a50f2bcfe51 · inbound

DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs cites this paper.

DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 13

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unresolved
no resolver link, observed 2026-08-12T13:37:37.525747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:37:37.525747Z digest=sha256:380b5e438a7c342a2b15a00d31e050bf4b123906cc5e98301a7b72d22e624a3d

Observation 4fac8878-26e7-410c-a2e5-077fbbef7045 · inbound

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision cites this paper.

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 2022

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unresolved
no resolver link, observed 2026-08-11T20:39:37.230567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:39:37.230567Z digest=sha256:2138325547ad58ebd927a9a0528b37af48335902179d74045b7aa229f4f8f7f8

Observation 8f491be6-b190-45cf-83e2-0510e34ac2c1 · inbound

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach cites this paper.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 24

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unresolved
no resolver link, observed 2026-08-10T14:40:13.182350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.182350Z digest=sha256:d03b4a7f15937262b5b4ea89a79de11838be835eacf541098df36ac6f258e1d6

Observation d858de98-05d8-4920-8cbf-ebdfeed12120 · inbound

Computing and Learning on Combinatorial Data cites this paper.

Computing and Learning on Combinatorial Data InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 254

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unresolved
no resolver link, observed 2026-08-08T20:29:47.161655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:29:47.161655Z digest=sha256:6804e6a5cccdaf31878fe8fafb550986af75c8c9475c86d40ec7d81949eff6f5

Observation 8fc05fb4-f853-4b35-b8c3-e0078bbc4243 · inbound

Closer through commonality: Enhancing hypergraph contrastive learning with shared groups cites this paper.

Closer through commonality: Enhancing hypergraph contrastive learning with shared groups InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T05:10:55.553832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:10:55.553832Z digest=sha256:68d3b1300f83acf45e5e66e6d33563e8d62d88a14d961306c4105b70b658941d

Observation 7decce05-1842-4ebe-9d79-104309348cb2 · inbound

DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining cites this paper.

DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 8

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unresolved
no resolver link, observed 2026-08-07T23:14:10.157899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:14:10.157899Z digest=sha256:52b544492c62e97361fb16d0bc4739e1547954f362174cb9ee43f5f9fb83c4e8

Observation 0b06560d-5fa8-430f-b8d9-4ce58907033a · inbound

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection cites this paper.

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 35

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unresolved
no resolver link, observed 2026-08-16T12:31:39.494508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:31:39.494508Z digest=sha256:1323c2a4460713c1a72ff827abc95d5780f8bc59be9ccf62c686f1853c3280e0

Observation df181d8b-de57-45b7-abdd-90f84a0f42a9 · inbound

Graffe: Graph Representation Learning via Diffusion Probabilistic Models cites this paper.

Graffe: Graph Representation Learning via Diffusion Probabilistic Models InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:46.379125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:46.379125Z digest=sha256:2b03c650e833b38fec9596db65e5ed7e98b3049447a6a4de604f7c8b08fc4922

Observation a0b70a35-156d-455f-8619-f76bf1134102 · inbound

Multi-Modal Molecular Representation Learning via Structure Awareness cites this paper.

Multi-Modal Molecular Representation Learning via Structure Awareness InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 51

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unresolved
no resolver link, observed 2026-08-15T22:58:53.508289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:58:53.508289Z digest=sha256:34b76801a4f8d266b7902d3e893d2329c8bbafd8308cde384b663e82a2184807

Observation ed22ad1e-755b-4baf-b554-a1fcd030fecb · inbound

Self-Reinforced Graph Contrastive Learning cites this paper.

Self-Reinforced Graph Contrastive Learning InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 7

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unresolved
no resolver link, observed 2026-08-15T20:15:58.739423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:15:58.739423Z digest=sha256:8b91539b460882930d09a924df5eb502658997953606f3f216c4f1cb15015367

Observation b85d378c-e8e5-4556-a351-5a73115a847b · inbound

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives cites this paper.

Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 39

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unresolved
no resolver link, observed 2026-08-07T15:29:49.631130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:29:49.631130Z digest=sha256:f436a4c21fa9f94144008c1cc74cdea4937e5edb5e87d9d5a7e0e8bc75e4c7ea

Observation 0c3eb348-637f-4289-939c-ee1b56831953 · inbound

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection cites this paper.

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:16.547704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:16.547704Z digest=sha256:e8346f322f2daf4d2acc947d3077562b10fd4ae2181cce8aaf0e9e429faff027

Observation 3dbbb4d3-ff7b-4ced-8b4b-d0d755bb082a · inbound

Graph Positional Autoencoders as Self-supervised Learners cites this paper.

Graph Positional Autoencoders as Self-supervised Learners InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:54:22.903932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:54:22.903932Z digest=sha256:b0e92c8068d3de56fa792ec500def6b20ff79408a11f9248dd8a5e0fc8beb32d

Observation 16cd512c-e943-415e-a325-9b15e17b5396 · inbound

Discrepancy-Aware Graph Mask Auto-Encoder cites this paper.

Discrepancy-Aware Graph Mask Auto-Encoder InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T18:40:58.603959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:40:58.603959Z digest=sha256:882e0c203d03e4e9f6f580d2dfbef6ccff15ce24411212e1537bdc4f50a49fe3

Observation 3b37185d-ae5b-48dc-a2e7-f2776583cdae · inbound

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation cites this paper.

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T18:59:17.203104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:59:17.203104Z digest=sha256:ec07b3b7db783a5cfe8a47d8e8d159c8551c8433a47f1842a0b1636db70c9d3c

Observation 1245c782-03fe-47d4-aa73-c651650f3def · inbound

GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning cites this paper.

GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:27:31.631775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T07:25:35.324582Z digest=sha256:8358d1addc33d2a431b37cd5eeb12a04ae6623aad4cb0b24e4644c3dccb8ccf6

Observation 66121b56-0af5-4a41-a5eb-70fc7530260f · inbound

Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition cites this paper.

Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 31

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metadata mismatch
arxiv_id, observed 2026-05-13T19:13:09.799911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T19:08:46.950269Z digest=sha256:00bfd699011af05b8254475e34c2c726875c5041bb057d7a37fb6deecf708b84

Observation 39daf8f5-98e0-43b5-b21d-04226cefecfd · inbound

Frequency-Corrupt Based Graph Self-Supervised Learning cites this paper.

Frequency-Corrupt Based Graph Self-Supervised Learning InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:32:52.076770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T08:32:08.154085Z digest=sha256:4140ef6a6e4ddbbe26014537c5c1c3a8dbcb45e30af4224a708682ace43d6542

Observation 8ae09b8e-28a9-4580-a6da-23aeab130f6a · inbound

Frequency-Corrupt Based Graph Self-Supervised Learning cites this paper.

Frequency-Corrupt Based Graph Self-Supervised Learning InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T16:10:59.779253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:10:59.779253Z digest=sha256:8bd92d8724795da1680d60e06253da6736e2acc0e48baf1974149189b920c11e

Observation fbe9fcf3-6755-4a86-9920-c727f1620bbe · inbound

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cites this paper.

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:34:05.386198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T08:32:32.410473Z digest=sha256:e11426c3720c4ee9a1a1772af088a0b3a9f0bc0c019801e5de842deedbc890a8

Observation f8ee60cb-e955-4104-ba74-d1f718d17efb · inbound

GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation cites this paper.

GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:24:04.588701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T20:26:32.599286Z digest=sha256:82c9ad778232e53d73aa423604aebc09af53a64f56f1c665cf05e536892d57c9