Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 57 inbound Pith citation observations for arXiv:1711.07553.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:35.071633Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
249
pith, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 65d406a0-ac8f-41d8-9e60-10ce1bcfcb9f · inbound
Hugging Rain Man: A Novel Facial Action Units Dataset for Analyzing Atypical Facial Expressions in Children with Autism Spectrum Disorder Residual Gated Graph ConvNets
Reference 80
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Unavailable: canonical work link unavailable.
Observation 3084986c-5095-49c3-a10c-b3f5cf1004d6 · inbound
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Residual Gated Graph ConvNets
Reference 2005
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cd7cccc-6c45-423e-8e52-99b1013419a4 · inbound
ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment Residual Gated Graph ConvNets
Reference 2024
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Unavailable: canonical work link unavailable.
Observation 1a6ef0f2-1955-4fc6-a5ea-ff518b53c6d2 · inbound
Node Classification With Integrated Reject Option Residual Gated Graph ConvNets
Reference 3
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Observation a81f525b-2b9b-4802-ac81-12f4880f7b04 · inbound
RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction Residual Gated Graph ConvNets
Reference 4
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Observation 3f586a21-525a-4165-ab13-94238ab43722 · inbound
GraSP: Simple yet Effective Graph Similarity Predictions Residual Gated Graph ConvNets
Reference 5
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Observation afe06e31-0cf0-4566-8f9a-56cff09a9548 · inbound
Towards Foundation Models on Graphs: An Analysis on Cross-Dataset Transfer of Pretrained GNNs Residual Gated Graph ConvNets
Reference 2017
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Observation f6b6f4e1-7380-45e0-ab57-4d0a04533f2e · inbound
Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality Residual Gated Graph ConvNets
Reference 14
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Observation 71b5dbcc-959d-4c8a-8141-a750bf5efeed · inbound
GRAMA: Adaptive Graph Autoregressive Moving Average Models Residual Gated Graph ConvNets
Reference 15
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Observation 80f96444-2932-4abc-a29f-d3ae82fbc563 · inbound
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Residual Gated Graph ConvNets
Reference 5
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Observation 6ca46ad6-5d4f-4ccb-9eea-d9b96171cc29 · inbound
Simple Path Structural Encoding for Graph Transformers Residual Gated Graph ConvNets
Reference 7
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Observation 3aca7c53-e87d-4228-8850-27fac98ef3ea · inbound
Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements Residual Gated Graph ConvNets
Reference 65
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Observation ab2be898-f239-43c9-8374-37f65f9fd13d · inbound
Kinship Verification through a Forest Neural Network Residual Gated Graph ConvNets
Reference 48
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Observation e8c6956a-7023-43f5-a222-249e0a54c8af · inbound
SFi-Former: Sparse Flow Induced Attention for Graph Transformer Residual Gated Graph ConvNets
Reference 7
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Observation 5eaf136b-f397-420e-98bc-fbc18a43e845 · inbound
Learning traffic flows: Graph Neural Networks for Metamodelling Traffic Assignment Residual Gated Graph ConvNets
Reference 35
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Observation f68bae8c-da71-4e9d-9da4-e9dee780334b · inbound
SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation Residual Gated Graph ConvNets
Reference 31
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Observation 4a432ef6-f29b-4214-bde4-b67400965fba · inbound
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling Residual Gated Graph ConvNets
Reference 13
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Observation 0cb38f1a-626a-4f10-b0a5-b71934ebca52 · inbound
Improving the Effective Receptive Field of Message-Passing Neural Networks Residual Gated Graph ConvNets
Reference 8
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Observation 618cd6b7-3f21-4770-9678-e43fb9700829 · inbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Residual Gated Graph ConvNets
Reference 4
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Observation c333df4b-56dc-4c35-9a69-a52e2298d3a1 · inbound
On Measuring Long-Range Interactions in Graph Neural Networks Residual Gated Graph ConvNets
Reference 2021
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Observation 91bebf9f-7e67-40e2-b7c2-ea28c35230a2 · inbound
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems Residual Gated Graph ConvNets
Reference 5
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Observation aacc6892-2845-49af-ad96-e9aa4717a3a2 · inbound
Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction Residual Gated Graph ConvNets
Reference 25
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Observation 4e89d3d5-aaf8-4264-ad64-79166fed9d9b · inbound
Robust Anomaly Detection with Graph Neural Networks using Controllability Residual Gated Graph ConvNets
Reference 11
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Observation 4d567ec1-df01-48d8-9ccc-4da735b3ae45 · inbound
Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning Residual Gated Graph ConvNets
Reference 22
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Observation f4b577b2-6d0d-474e-a981-f5a929137ae8 · inbound
TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows Residual Gated Graph ConvNets
Reference 12
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Observation 0e823930-874f-4795-94bc-ce5b1813fcf9 · inbound
A Spatio-Temporal Graph Neural Networks Approach for Predicting Silent Data Corruption inducing Circuit-Level Faults Residual Gated Graph ConvNets
Reference 40
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Observation ef8354b3-e2bb-42b6-a2c4-d123547a87cd · inbound
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks Residual Gated Graph ConvNets
Reference 2
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Observation ed0407ea-bd77-4956-8240-1afee79ebc7d · inbound
Learning from Historical Activations in Graph Neural Networks Residual Gated Graph ConvNets
Reference 3
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Observation 5474bdfe-e307-4f83-89e7-a07be42c4768 · inbound
Extracting Money Laundering Transactions from Quasi-Temporal Graph Representation Residual Gated Graph ConvNets
Reference 6
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Observation 2f9d3d1d-b942-4d9b-8b80-3ec640099ddf · inbound
BiScale-GTR: Fragment-Aware Graph Transformers for Multi-Scale Molecular Representation Learning Residual Gated Graph ConvNets
Reference 1
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Observation 7b386171-588f-4118-9e99-08b1bc3290eb · inbound
R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII Residual Gated Graph ConvNets
Reference 4
Source-reported events for the cited work
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Observation e1514368-dcc3-4583-84e0-02dffcc8a740 · inbound
Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning Residual Gated Graph ConvNets
Reference 4
Source-reported events for the cited work
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Observation 42e2348b-c340-4446-9372-c299a34d1af4 · inbound
Capacity-Controlled Global Attention for Graph Transformers Residual Gated Graph ConvNets
Reference 17
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Observation d245fff9-ebdf-400f-b381-acc8e539cc1f · inbound
Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors Residual Gated Graph ConvNets
Reference 86
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Observation 6b57f4e3-e3bc-4ae2-ae97-a9057fe56c49 · inbound
On the Expressive Power of GNNs to Solve Linear SDPs Residual Gated Graph ConvNets
Reference 3
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Observation 7c196366-cc2c-4d51-8390-a8141545c005 · inbound
A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis Residual Gated Graph ConvNets
Reference 13
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Observation d21c0073-b736-4a42-a7ae-92ac7b6abe45 · inbound
GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model Residual Gated Graph ConvNets
Reference 25
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Observation cd60123c-e9a8-45c5-8615-8cf89448bdf2 · inbound
No Triangulation Without Representation: Generalization in Topological Deep Learning Residual Gated Graph ConvNets
Reference 9
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Observation d8c27550-bedd-4b5d-8f25-c3a83aba0902 · inbound
Towards Metric-Faithful Neural Graph Matching Residual Gated Graph ConvNets
Reference 34
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Observation 66ae9d40-eccc-482a-80b3-8491625af365 · inbound
Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks Residual Gated Graph ConvNets
Reference 11
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Observation f8de969f-4f9f-4e42-88b1-f8e17dcc082d · inbound
Why Self-Inconsistency Arises in GNN Explanations and How to Exploit It Residual Gated Graph ConvNets
Reference 42
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Observation a0edb909-d447-4394-9e03-07dcd4347ec0 · inbound
Why Self-Inconsistency Arises in GNN Explanations and How to Exploit It Residual Gated Graph ConvNets
Reference 42
Source-reported events for the cited work
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Observation 16220316-c165-49a9-9904-f259fa84b8bb · inbound
COAgents: Multi-Agent Framework to Learn and Navigate Routing Problems Search Space Residual Gated Graph ConvNets
Reference 1
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Observation 96bfa441-97e4-426a-85ca-0747e94f5be9 · inbound
Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them Residual Gated Graph ConvNets
Reference 50
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Observation a673b508-0a38-41d2-8cb3-cda684bbce78 · inbound
Learning Dynamic Stability Landscapes in Synchronization Networks Residual Gated Graph ConvNets
Reference 82
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Observation 230120bb-109d-42d0-a442-986f0175cec1 · inbound
Understanding and Reducing Metadata-Driven Host Overheads in Sampling-Based GNN Training Residual Gated Graph ConvNets
Reference 1
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Observation f8545d53-a471-433b-9f57-b124c2399abd · inbound
Learn When and Where to Connect: Adaptive Virtual Nodes for Dynamic Message Passing on Graphs Residual Gated Graph ConvNets
Reference 8
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Observation 01663338-d8b0-430d-8ae2-0ffa816fc1d5 · inbound
Contrastive Neural Algorithmic Reasoning for Graph Coloring Residual Gated Graph ConvNets
Reference 4
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Observation cbeeebc8-9599-4af6-ab1d-d3b9f8f391de · inbound
ALINC: Active Learning for Inductive Node Classification via Graph Sampling Residual Gated Graph ConvNets
Reference 4
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Observation f62bf90e-7cba-495f-9b9a-7efaef867e08 · inbound
End-to-End Subgraph Detection with GraphDETR Residual Gated Graph ConvNets
Reference 3
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Observation daafe01e-a68a-449b-8d03-9569477114c6 · inbound
Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Residual Gated Graph ConvNets
Reference 152
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Observation 09d22e79-f9ad-45c7-a71b-470e990267a0 · inbound
X-LogSMask: Expand Transformer for Graph-Structured Data Residual Gated Graph ConvNets
Reference 34
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Observation 38ca0a40-ff68-44fb-9042-5a41771bd2b5 · inbound
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Reference 139
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Observation e2675178-34b0-4dc9-9c7e-8633a54d89db · inbound
MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model Residual Gated Graph ConvNets
Reference 13
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Observation ab4f379b-f3fc-4565-a690-c8dcc25dca81 · inbound
GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models Residual Gated Graph ConvNets
Reference 11
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Unavailable: canonical work link unavailable.
Observation d9ae5dce-d2dc-4009-b03d-24e46a0577d1 · inbound
CondPSE: A Polynomial-Filtered Structural Encoder with Conditional Modulation for Graphs Residual Gated Graph ConvNets
Reference 2
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Observation ec74cf3f-dd88-45c9-af58-a8ea1a05dcf7 · inbound
SILVA Networks as Structured Implicit Layers and Vector Attractors via Dynamic Interaction Fields Residual Gated Graph ConvNets
Reference 56
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Unavailable: canonical work link unavailable.