Paper Citation Record · LEDGER

Disentangled Generative Graph Representation Learning

As of 10 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2408.13471.

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

pith.paper-citation-record.v1
2408.13471 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T21:23:33.474134Z

measured 23 of 23 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.

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

23 of 23 outbound references displayed

verified exact15
verified fuzzy8
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1c630bb-5b0c-46ca-a20f-23afb48d42b3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Disentangled Generative Graph Representation Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:25:51.570829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c617d73d-9dc1-4774-b015-34cd58fa9d02 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Disentangled Generative Graph Representation Learning BEiT: BERT Pre-Training of Image Transformers

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:25:51.598776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 120ef773-3204-48ee-abfa-1565ad88ecf0 · outbound

This paper cites MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs.

Disentangled Generative Graph Representation Learning MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.580727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 962bcfd2-1ffc-465d-86c7-9779a57a1da5 · outbound

This paper cites RARE: Robust Masked Graph Autoencoder.

Disentangled Generative Graph Representation Learning RARE: Robust Masked Graph Autoencoder

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.585736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a471cecb-e8b5-48a4-a4d3-c7d7931e3011 · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

Disentangled Generative Graph Representation Learning Strategies for Pre-training Graph Neural Networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.603015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ed064ae-656b-4d90-ad3e-30fbaeefbb6b · outbound

This paper cites Deep Graph Contrastive Representation Learning.

Disentangled Generative Graph Representation Learning Deep Graph Contrastive Representation Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.594575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab5eec14-81f6-4ab7-bad2-b57bbce57116 · outbound

This paper cites Deep Graph Infomax.

Disentangled Generative Graph Representation Learning Deep Graph Infomax

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:25:51.606826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33ffd248-f87b-4cab-9669-72556cfdbff6 · outbound

This paper cites WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling.

Disentangled Generative Graph Representation Learning WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.552324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2de7fe87-6226-4423-a7c4-853b9c68ea2d · outbound

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

Disentangled Generative Graph Representation Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:25:51.565794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eb4281e2-4ebe-4d79-92f2-d9a4e5b8c9e2 · outbound

This paper cites Seegera: Self-supervised semi- implicit graph variational auto-encoders with masking.

Disentangled Generative Graph Representation Learning Seegera: Self-supervised semi- implicit graph variational auto-encoders with masking

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:25:52.416064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fede48f-ae1b-4834-8268-17dcd7b0d589 · outbound

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

Disentangled Generative Graph Representation Learning Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.557351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c582b6e-157c-4c93-8031-8ec3c1ab2b67 · outbound

This paper cites Graphmae2: A decoding-enhanced masked self-supervised graph learner.

Disentangled Generative Graph Representation Learning Graphmae2: A decoding-enhanced masked self-supervised graph learner

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:25:52.418451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c7db2735-6d1c-4d24-8572-38c7a9b0b613 · outbound

This paper cites Masked Graph Autoencoder with Non-discrete Bandwidths.

Disentangled Generative Graph Representation Learning Masked Graph Autoencoder with Non-discrete Bandwidths

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.575901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c239473-d06a-42ba-87bc-97b678a405b1 · outbound

This paper cites Variational Graph Auto-Encoders.

Disentangled Generative Graph Representation Learning Variational Graph Auto-Encoders

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:25:51.561719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39c30314-8198-4f16-b69f-88dcfd039928 · outbound

This paper cites graph2vec: Learning Distributed Representations of Graphs.

Disentangled Generative Graph Representation Learning graph2vec: Learning Distributed Representations of Graphs

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-23T21:25:51.611087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

This paper cites InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.

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 2026-08-10T06:31:04.303077+00:00.

Observation 621d3153-72f5-44bd-ba1e-44ec8855d75b · outbound

This paper cites Sub2vec: Feature learning for subgraphs.

Disentangled Generative Graph Representation Learning Sub2vec: Feature learning for subgraphs

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:25:52.432554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e627f1ae-e44f-4f05-8efd-636445320c1f · outbound

This paper cites Self-supervised Learning from a Multi-view Perspective.

Disentangled Generative Graph Representation Learning Self-supervised Learning from a Multi-view Perspective

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:25:51.615562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f2ebdaca-5b5b-4881-9422-b5cfd4e23f5c · outbound

This paper cites Local graph partitioning using pagerank vectors.

Disentangled Generative Graph Representation Learning Local graph partitioning using pagerank vectors

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:25:52.421159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2b5df523-695c-4b7d-9c56-47125f5c8b51 · outbound

This paper cites The optimal number of z that maximizes performance tends to be concentrated in the range of 2-4.

Disentangled Generative Graph Representation Learning The optimal number of z that maximizes performance tends to be concentrated in the range of 2-4

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:25:52.423911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6239e7b-f966-4848-8a69-1b29126f2e81 · outbound

This paper cites Table 5 and Table 6 show the specific statistics of used datasets.

Disentangled Generative Graph Representation Learning Table 5 and Table 6 show the specific statistics of used datasets

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:25:52.427039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2a3de0d-0df1-40c5-aeb0-0cd4a8960700 · outbound

This paper cites Dataset IMDB-B IMDB-M PROTEINS COLLAB MUTAG REDDIT-B NCI1 Statistics Avg.

Disentangled Generative Graph Representation Learning Dataset IMDB-B IMDB-M PROTEINS COLLAB MUTAG REDDIT-B NCI1 Statistics Avg

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:25:52.430011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b84b64e0-b25f-4f9c-ab30-2526677f2089 · outbound

This paper cites 2: Parameters: Θ in the inference network of Latent Factor Learning phase, Ω in the encoding network of DiGGR, Ψ in the decoding network of DiGGR.

Disentangled Generative Graph Representation Learning 2: Parameters: Θ in the inference network of Latent Factor Learning phase, Ω in the encoding network of DiGGR, Ψ in the decoding network of DiGGR

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:25:52.435579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.