Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:29:47.161655Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 2026-08-08T06:32:00.761636+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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.

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 2026-08-08T06:32:00.761636+00:00.

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

Resolution: 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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.