Paper Citation Record · LEDGER

Graph Neural Networks on Graph Databases

As of 15 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2411.11375.

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

pith.paper-citation-record.v1
2411.11375 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:38:42.694233Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

55 of 55 outbound references displayed

verified exact6
verified fuzzy31
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c2f4fd3-5a36-4470-a0b7-ae8c28a2e108 · outbound

This paper cites Fineman, Matteo Frigo, John R.

Graph Neural Networks on Graph Databases Fineman, Matteo Frigo, John R

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.305512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf7a525-0f62-478f-af5e-051980f60d4c · outbound

This paper cites Hamilton, Zhitao Ying, and Jure Leskovec.

Graph Neural Networks on Graph Databases Hamilton, Zhitao Ying, and Jure Leskovec

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.424714Z

Source-reported events for the cited work

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Observation 5e91731e-a180-4bbc-b48a-9f4e3a74f6a0 · outbound

This paper cites FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.

Graph Neural Networks on Graph Databases FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.311355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997d24c1-d322-45a5-aa2c-630708438f3c · outbound

This paper cites Layer- dependent importance sampling for training deep and large graph convolutional networks.

Graph Neural Networks on Graph Databases Layer- dependent importance sampling for training deep and large graph convolutional networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.417933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c987b7fb-372e-4b42-869b-d82f70a005c9 · outbound

This paper cites Distdgl: Distributed graph neural network training for billion-scale graphs.

Graph Neural Networks on Graph Databases Distdgl: Distributed graph neural network training for billion-scale graphs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.385352Z

Source-reported events for the cited work

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Observation 54bf8e2a-d90d-4bd5-b89e-81ef27bbd56d · outbound

This paper cites Pytorch distributed: experiences on accelerating data parallel training.

Graph Neural Networks on Graph Databases Pytorch distributed: experiences on accelerating data parallel training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.320000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8224a6c2-19fa-46db-a9fd-95af08bdf3b3 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Graph Neural Networks on Graph Databases Fast Graph Representation Learning with PyTorch Geometric

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.322788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72ead72a-b4ee-4464-a972-604169f5ac29 · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

Graph Neural Networks on Graph Databases Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.325451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce009ce-00ca-4946-bcf8-82de9ec7fe09 · outbound

This paper cites TF-GNN: Graph Neural Networks in TensorFlow.

Graph Neural Networks on Graph Databases TF-GNN: Graph Neural Networks in TensorFlow

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.331966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e87686-728f-4106-90c3-b5dab39408c7 · outbound

This paper cites A fast and high quality multilevel scheme for parti- tioning irregular graphs.

Graph Neural Networks on Graph Databases A fast and high quality multilevel scheme for parti- tioning irregular graphs

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.298158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6deeb626-e1aa-469c-be75-e9f67ab7091c · outbound

This paper cites METIS: A Software Package for Partitioning Unstructured Graphs, Partitioning Meshes, and Computing Fill-Reducing Orderings of Sparse Matrices , September 1998.

Graph Neural Networks on Graph Databases METIS: A Software Package for Partitioning Unstructured Graphs, Partitioning Meshes, and Computing Fill-Reducing Orderings of Sparse Matrices , September 1998

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.288626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4bed9239-a0d0-4ad6-ae8d-87d7111b7a6d · outbound

This paper cites Communication-Free Distributed GNN Training with Vertex Cut.

Graph Neural Networks on Graph Databases Communication-Free Distributed GNN Training with Vertex Cut

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:38:43.223829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1850d665-1ac0-4a0a-8b9c-9aa520c6d4bb · outbound

This paper cites Scalable and efficient full-graph gnn training for large graphs.

Graph Neural Networks on Graph Databases Scalable and efficient full-graph gnn training for large graphs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.282007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aeed18b6-ceeb-4720-9230-afd3d4576be3 · outbound

This paper cites Bytegnn: efficient graph neural network training at large scale.

Graph Neural Networks on Graph Databases Bytegnn: efficient graph neural network training at large scale

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.275021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4f72a670-62e6-44bf-9b82-14024daf0c53 · outbound

This paper cites Foundations of Modern Query Languages for Graph Databases.

Graph Neural Networks on Graph Databases Foundations of Modern Query Languages for Graph Databases

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.389349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5102af1-a9d4-4f07-aa43-e3797f9dc8a4 · outbound

This paper cites https://www.w3.org/RDF/, 2014.

Graph Neural Networks on Graph Databases https://www.w3.org/RDF/, 2014

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.267268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dab1ddd9-82b0-48a3-8e9d-7896c01dcc99 · outbound

This paper cites Automating the construction of internet portals with machine learning.

Graph Neural Networks on Graph Databases Automating the construction of internet portals with machine learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.259352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 45f9ab14-52d1-4b83-a06e-e1eb929fdd9b · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

Graph Neural Networks on Graph Databases Open graph benchmark: Datasets for machine learning on graphs

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.251929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d94295a1-3e6d-4c71-a41d-ab4e77a389ea · outbound

This paper cites Cypher: An evolving query language for property graphs.

Graph Neural Networks on Graph Databases Cypher: An evolving query language for property graphs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.401821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f8c4af-c2e1-4065-8b28-50b622920231 · outbound

This paper cites Formal Semantics of the Language Cypher.

Graph Neural Networks on Graph Databases Formal Semantics of the Language Cypher

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:38:43.077139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b28ab08c-4115-4354-8c32-b72899243d8c · outbound

This paper cites opencypher: New directions in property graph querying.

Graph Neural Networks on Graph Databases opencypher: New directions in property graph querying

Reference 21

Resolution: verified exact; doi, observed 2026-08-12T18:38:42.723450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 70dd9351-043f-4566-8df2-67f2b77d3ec1 · outbound

This paper cites https://www.iso.org/standard/76120.html, 2024.

Graph Neural Networks on Graph Databases https://www.iso.org/standard/76120.html, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.201091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35202af8-9761-4577-86c7-d52898645315 · outbound

This paper cites Graph Pattern Matching in GQL and SQL/PGQ.

Graph Neural Networks on Graph Databases Graph Pattern Matching in GQL and SQL/PGQ

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:38:43.042129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7be4963a-8f42-4948-b29d-bf26291e1fad · outbound

This paper cites https://neo4j.com/.

Graph Neural Networks on Graph Databases https://neo4j.com/

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.150428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9da72c44-bef3-4835-be4d-1afe9a3385f6 · outbound

This paper cites https://arangodb.com/.

Graph Neural Networks on Graph Databases https://arangodb.com/

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.142204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3456bfa7-4821-46f3-a892-f40a208bcdfb · outbound

This paper cites https://www.tigergraph.com/.

Graph Neural Networks on Graph Databases https://www.tigergraph.com/

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.134182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 240f33bd-4bee-49a3-b86a-4d2f80b80706 · outbound

This paper cites https://www.w3.org/TR/sparql11-query/, 2013.

Graph Neural Networks on Graph Databases https://www.w3.org/TR/sparql11-query/, 2013

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.126079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c03c84bf-461f-454c-8e22-35be4fa3c1df · outbound

This paper cites Rdfox: A highly-scalable rdf store.

Graph Neural Networks on Graph Databases Rdfox: A highly-scalable rdf store

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.117872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 990caa4d-56ea-4be7-84c1-c34bd954cab5 · outbound

This paper cites https://aws.amazon.com/neptune/.

Graph Neural Networks on Graph Databases https://aws.amazon.com/neptune/

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:44.071345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 665a835a-669f-43d1-9875-bdad76d7476a · outbound

This paper cites Kùzu: Graph learning applications need a modern graph DBMS.

Graph Neural Networks on Graph Databases Kùzu: Graph learning applications need a modern graph DBMS

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.977040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b92eef40-3e54-4048-b6c3-c9bf1d876cc0 · outbound

This paper cites Neural graph databases.

Graph Neural Networks on Graph Databases Neural graph databases

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.958989Z

Source-reported events for the cited work

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Observation cde6deec-8f25-4a79-9027-210dd70e341c · outbound

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Graph Neural Networks on Graph Databases Unresolved cited work

Reference 32

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Observation ff457a81-1ae1-4053-b6ca-5445c63ea648 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Graph Neural Networks on Graph Databases node2vec: Scalable feature learning for networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.941683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fd7ca8c4-f0f7-4eab-af36-2bf1ab11f7ce · outbound

This paper cites Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases.

Graph Neural Networks on Graph Databases Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.451234Z

Source-reported events for the cited work

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Observation cd50fd52-7ed8-4ca7-8fd4-f80c68dddd40 · outbound

This paper cites Relational Deep Learning: Graph Representation Learning on Relational Databases.

Graph Neural Networks on Graph Databases Relational Deep Learning: Graph Representation Learning on Relational Databases

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.503601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10328bc6-e0d8-4fe9-9be2-328f7d8aa3b2 · outbound

This paper cites The shift from models to compound ai systems.

Graph Neural Networks on Graph Databases The shift from models to compound ai systems

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.822846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 415248fe-da8a-4244-9720-98b0b3f3df19 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Graph Neural Networks on Graph Databases Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.783294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 750ba800-dc34-43d5-9fa3-90174dc0e7b4 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Graph Neural Networks on Graph Databases From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.580782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ccfae1a-1a00-4cd7-b9ca-62227accdcf1 · outbound

This paper cites GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.

Graph Neural Networks on Graph Databases GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.584532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c37bca3-7526-4d61-ba6e-677cbd9f53ea · outbound

This paper cites Exploration of approaches for in- database ml.

Graph Neural Networks on Graph Databases Exploration of approaches for in- database ml

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.774491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fb4c23a6-5860-4e39-8c1d-2abe439875d9 · outbound

This paper cites Learning Models over Relational Data using Sparse Tensors and Functional Dependencies.

Graph Neural Networks on Graph Databases Learning Models over Relational Data using Sparse Tensors and Functional Dependencies

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a511ede3-5e0d-486d-ab2f-e99c6e136992 · outbound

This paper cites The Relational Data Borg is Learning.

Graph Neural Networks on Graph Databases The Relational Data Borg is Learning

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:38:42.951680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 54d1b672-c3d4-405d-9575-4dde967919fe · outbound

This paper cites https://www.pinecone.io/.

Graph Neural Networks on Graph Databases https://www.pinecone.io/

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.765068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ce8fc9b-ec22-4aeb-8958-5c3fb9c78edc · outbound

This paper cites The graph database interface: Scaling online transactional and analytical graph workloads to hundreds of thousands of cores.

Graph Neural Networks on Graph Databases The graph database interface: Scaling online transactional and analytical graph workloads to hundreds of thousands of cores

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.664258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b28c3f29-fe4d-4887-bc75-6f0b47ecc8a7 · outbound

This paper cites Powerlyra: Differentiated graph computation and partitioning on skewed graphs.

Graph Neural Networks on Graph Databases Powerlyra: Differentiated graph computation and partitioning on skewed graphs

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.654277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0ff9aee-9e97-4599-abf6-a1115867c6ff · outbound

This paper cites G-Tran: Making Distributed Graph Transactions Fast.

Graph Neural Networks on Graph Databases G-Tran: Making Distributed Graph Transactions Fast

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:38:42.902830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7acfdbf3-a14e-453c-adff-097bb64835ed · outbound

This paper cites Kùzu graph database management system.

Graph Neural Networks on Graph Databases Kùzu graph database management system

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.643459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 13a51a4d-b468-438c-b9d0-577224de49d5 · outbound

This paper cites https://graph500.org/.

Graph Neural Networks on Graph Databases https://graph500.org/

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.536493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21eafc5d-b501-45d1-b8de-25c82f958bd8 · outbound

This paper cites Sampling meth- ods for efficient training of graph convolutional networks: A survey.

Graph Neural Networks on Graph Databases Sampling meth- ods for efficient training of graph convolutional networks: A survey

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.492642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9bb92ab9-f0da-4fc1-af8a-40660135d7cf · outbound

This paper cites Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding.

Graph Neural Networks on Graph Databases Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.483158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4225fd78-2bb3-42fa-b8d8-c3f3ea00d3b4 · outbound

This paper cites Het- erogeneous graph attention network.

Graph Neural Networks on Graph Databases Het- erogeneous graph attention network

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:38:43.474970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e528a4f-af08-411a-8d03-16816334c74a · outbound

This paper cites Chawla, and Ananthram Swami.

Graph Neural Networks on Graph Databases Chawla, and Ananthram Swami

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.692186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef27059-9db2-460f-b841-ac3a49a5dfbd · outbound

This paper cites an unresolved cited work.

Graph Neural Networks on Graph Databases Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.694233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc4dd157-e820-40bf-be79-be37d56ceae9 · outbound

This paper cites doi: 10.1023/A:1009953814988.

Graph Neural Networks on Graph Databases doi: 10.1023/A:1009953814988

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-12T18:38:42.397126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49856fd0-f675-4202-af74-314524a67d8f · outbound

This paper cites an unresolved cited work.

Graph Neural Networks on Graph Databases Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:38:43.968260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.