Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-24T00:39:33.038577Z
Paper Citation Record · LEDGER
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
As of 22 July 2026, this Paper Citation Record lists 17 of 17 outbound references and 34 inbound Pith citation observations for arXiv:1909.01315.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T19:43:02.198818Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T12:15:00.875560Z
Reference resolution
17 of 17 outbound references displayed
- verified exact10
- verified fuzzy6
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d4e24baf-84bb-447b-bd77-ced4e4b8c84a · outbound
This paper cites Relational inductive biases, deep learning, and graph networks.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Relational inductive biases, deep learning, and graph networks
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.127034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation c6cf664d-d981-421c-aca9-3e075d216501 · outbound
This paper cites Efficient sparse matrix-vector multiplication on cuda.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Efficient sparse matrix-vector multiplication on cuda
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T00:39:33.177774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 4c1255b0-bba5-4149-a96f-3a1825ec1d86 · outbound
This paper cites Graph Convolutional Matrix Completion.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Graph Convolutional Matrix Completion
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.133631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation a7b49efe-dd00-4683-970b-e24a5bb3dee9 · outbound
This paper cites Spectral Networks and Locally Connected Networks on Graphs.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Spectral Networks and Locally Connected Networks on Graphs
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.151499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation ad1df1ea-8023-4508-be55-536a763a64eb · outbound
This paper cites MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.167940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation f59d8a46-0fea-4465-95eb-bf83a0c6e845 · outbound
This paper cites Fast Graph Representation Learning with PyTorch Geometric.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Fast Graph Representation Learning with PyTorch Geometric
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.117387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 18887c52-c56b-4b44-82f1-f8335ecbeeab · outbound
This paper cites Embedding logical queries on knowledge graphs.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Embedding logical queries on knowledge graphs
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T00:39:33.182085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 6bda76c1-54c6-43d2-96bd-be93f6189929 · outbound
This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T00:39:33.141199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation d2e52b2e-a158-4bb4-8b10-a00ea630ab9b · outbound
This paper cites Mathematical founda- tions of the graphblas.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Mathematical founda- tions of the graphblas
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T00:39:33.187179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 9d3cfac0-0b90-4aaa-a03d-551699a4b3fe · outbound
This paper cites Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.159571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation d4d16ba7-e165-4ae2-aea1-e3aa1dab0cb2 · outbound
This paper cites Neugraph: parallel deep neural network computation on large graphs.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Neugraph: parallel deep neural network computation on large graphs
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T00:39:33.191443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation a81739b6-b897-439d-af5c-c26fee02215f · outbound
This paper cites Modeling Relational Data with Graph Convolutional Networks.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Modeling Relational Data with Graph Convolutional Networks
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.078804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation b51404c6-ecb8-4e07-be7e-48fb3b17cca2 · outbound
This paper cites Simplifying Graph Convolutional Networks.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Simplifying Graph Convolutional Networks
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.093131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 24091832-8452-4571-8839-8db4c79640bd · outbound
This paper cites How Powerful are Graph Neural Networks?.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks How Powerful are Graph Neural Networks?
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.101880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 057c2648-9f4b-4de0-b503-df810c5e424a · outbound
This paper cites Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T00:39:33.109688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation a5a927b6-b98c-4072-846c-6ee520de8879 · outbound
This paper cites Aligraph: a comprehensive graph neural network platform.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Aligraph: a comprehensive graph neural network platform
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T00:39:33.195626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 6878afc0-77c9-4c64-87b5-a2d8beacba67 · outbound
This paper cites fan _avg.
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks fan _avg
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-24T00:39:33.172583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Pith citing papers
Observation f034bfa8-ee64-4a1a-9df8-eeb9a9e25505 · inbound
How Attentive are Graph Attention Networks? cites this paper.
How Attentive are Graph Attention Networks? Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation febd3ade-f1c0-4200-bf60-a5465bf954c7 · inbound
Software and computing for Run 3 of the ATLAS experiment at the LHC cites this paper.
Software and computing for Run 3 of the ATLAS experiment at the LHC Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 225
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation f20981c7-dfa8-4229-9930-8a3679eac0e4 · inbound
Learning Spatial-Preserving Hierarchical Representations for Digital Pathology cites this paper.
Learning Spatial-Preserving Hierarchical Representations for Digital Pathology Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation d66eec15-759e-4290-bdf5-07ddc49a79f0 · inbound
How Hard Is It for Message-Passing GNNs to Simulate One Weisfeiler-Lehman Color-Refinement Step? cites this paper.
How Hard Is It for Message-Passing GNNs to Simulate One Weisfeiler-Lehman Color-Refinement Step? Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 07095378-1e4d-4653-9f73-231ee09086a9 · inbound
Pretrained Event Classification Model for High Energy Physics Analysis cites this paper.
Pretrained Event Classification Model for High Energy Physics Analysis Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 787d2466-4f86-4d24-b2c9-a5dc09ca02a2 · inbound
Modal Decomposition and Identification for a Population of Structures Using Physics-Informed Graph Neural Networks and Transformers cites this paper.
Modal Decomposition and Identification for a Population of Structures Using Physics-Informed Graph Neural Networks and Transformers Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 0f2134d4-a2c9-49f3-bbea-6485df2d7440 · inbound
G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge cites this paper.
G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation a4875a61-6e6a-4ecb-bc49-019d1d5d2629 · inbound
Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network cites this paper.
Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation e3078890-4256-4b25-a495-7467a0291e2d · inbound
AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders cites this paper.
AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation c5ee9e9a-666b-4f63-9d10-8060cb2bef68 · inbound
Torch Geometric Pool: the PyTorch library for pooling in Graph Neural Networks cites this paper.
Torch Geometric Pool: the PyTorch library for pooling in Graph Neural Networks Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation b2d506e2-9408-4a08-ad2f-57b26099bef8 · inbound
SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication cites this paper.
SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation f0152934-8c1a-44b2-9785-49580fd7aee4 · inbound
FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics cites this paper.
FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 7ebccc3d-3b1f-42f2-a52a-2fabad0e2cf8 · inbound
AI Generalisation Gap In Comorbid Sleep Disorder Staging cites this paper.
AI Generalisation Gap In Comorbid Sleep Disorder Staging Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T19:43:02.198818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cffdbcd-b82a-40f1-a042-a52d1efb3778 · inbound
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training cites this paper.
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 6c7ada6d-e38e-4be4-ab74-7245bf41ac6b · inbound
Cluster Attention for Graph Machine Learning cites this paper.
Cluster Attention for Graph Machine Learning Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 9507964b-2b98-4c32-8976-7b18c616cacd · inbound
Modern Structure-Aware Simplicial Spatiotemporal Neural Network cites this paper.
Modern Structure-Aware Simplicial Spatiotemporal Neural Network Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation fa64e557-7f83-4306-9a8d-80b3fea32ecd · inbound
Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs cites this paper.
Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 14071740-c4d4-42ff-a26a-6f6c4281762e · inbound
AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures cites this paper.
AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation b816eac4-673d-4f8b-90e3-fad8f6e7ed4f · inbound
LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval cites this paper.
LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation c163db7a-9a5c-4397-a7c9-56fa52c7f955 · inbound
TabEmb: Joint Semantic-Structure Embedding for Table Annotation cites this paper.
TabEmb: Joint Semantic-Structure Embedding for Table Annotation Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 128
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 3b6ff7ab-f39b-450b-9234-315820c930ab · inbound
Ocean: Fast Estimation-Based Sparse General Matrix-Matrix Multiplication on GPU cites this paper.
Ocean: Fast Estimation-Based Sparse General Matrix-Matrix Multiplication on GPU Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 3f9354d0-ef5d-470b-84e0-694659eed2af · inbound
GreenDyGNN: Runtime-Adaptive Energy-Efficient Communication for Distributed GNN Training cites this paper.
GreenDyGNN: Runtime-Adaptive Energy-Efficient Communication for Distributed GNN Training Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 8707a776-df2d-413f-9e87-ebf0950054cb · inbound
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion cites this paper.
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation f970825a-cf4b-434e-ab3a-cd7dee136310 · inbound
Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cites this paper.
Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T00:39:33.196830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation fa5a62b2-77c5-46de-a5e5-98280dc83873 · inbound
GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation cites this paper.
GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T00:24:04.590870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation b6af36f4-07d9-4f8d-b9db-f450616f7895 · inbound
What drives performance in molecular MPNNs? An operator-level factorial benchmark cites this paper.
What drives performance in molecular MPNNs? An operator-level factorial benchmark Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T06:33:11.813517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 00eb0ab9-8e4e-4cf3-a011-439056655ce0 · inbound
Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended cites this paper.
Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:32:46.920362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 596e29f1-5e59-4987-bffe-075433d40361 · inbound
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments cites this paper.
AcOrch: Accelerating Sampling-based GNN Training under CPU-NPU Heterogeneous Environments Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T21:36:15.526926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 42a31fba-df44-418a-a926-3cfe94e52a06 · inbound
Neuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data cites this paper.
Neuro-Relational Programs: Unifying Queries and Neural Computation over Structured Data Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T13:38:19.269793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation dca5abf0-542f-47a1-b9a7-a870782d3429 · inbound
GrapNet: A Programmable Dynamic-Architecture Neural Graph Substrate cites this paper.
GrapNet: A Programmable Dynamic-Architecture Neural Graph Substrate Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T00:29:16.374278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 3d1e0b7f-7598-43a0-aa10-1d0bd52a36ee · inbound
FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism cites this paper.
FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T08:39:42.429207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation 9cdb22cd-9b41-4f92-8033-2e86afde87d2 · inbound
FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism cites this paper.
FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T21:57:25.481110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation e1b17dbe-0081-4803-b75b-8dabb4dc0224 · inbound
Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks cites this paper.
Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T19:40:06.644302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.
Observation d3631195-ed3f-4a0a-8cae-cd1d70457ba8 · inbound
FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training cites this paper.
FAST: A Holistic Framework for Optimizing Memory-I/O, Computation, and Sampling in Temporal GNN Training Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:53:35.832685Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.