Paper Citation Record · LEDGER

Graph Neural Networks with Learnable Structural and Positional Representations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2110.07875.

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

pith.paper-citation-record.v1
2110.07875 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:40:12.348683Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

25
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2d0bc7c6-f38e-4376-a60b-192fdc37726f · inbound

A Generalizable Anomaly Detection Method in Dynamic Graphs cites this paper.

A Generalizable Anomaly Detection Method in Dynamic Graphs Graph Neural Networks with Learnable Structural and Positional Representations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:37:43.624011Z

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Observation 10c05888-8766-4d6d-8393-b6e5ad6f44dc · inbound

ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction cites this paper.

ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction Graph Neural Networks with Learnable Structural and Positional Representations

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T19:42:13.678613Z

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Observation 42826f10-840a-476b-8e95-c03692270f8a · inbound

Policy Guided Tree Search for Enhanced LLM Reasoning cites this paper.

Policy Guided Tree Search for Enhanced LLM Reasoning Graph Neural Networks with Learnable Structural and Positional Representations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:31.750244Z

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Observation 6e3221b5-3195-4390-b026-153ea356a54c · inbound

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans cites this paper.

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans Graph Neural Networks with Learnable Structural and Positional Representations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T11:23:58.464828Z

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Observation 5aab17d2-b986-49d0-822d-8dc3c16fd87e · inbound

Enhancing the Utility of Higher-Order Information in Relational Learning cites this paper.

Enhancing the Utility of Higher-Order Information in Relational Learning Graph Neural Networks with Learnable Structural and Positional Representations

Reference 1991

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Source-reported events for the cited work

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Observation 0c2fd9a3-9a8c-4eac-9923-621af432743e · inbound

polyGen: A Learning Framework for Atomic-level Polymer Structure Generation cites this paper.

polyGen: A Learning Framework for Atomic-level Polymer Structure Generation Graph Neural Networks with Learnable Structural and Positional Representations

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T10:40:12.348683Z

Source-reported events for the cited work

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Observation 6d0db7b6-e23d-4166-aac6-5ce8dcea216e · inbound

Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer cites this paper.

Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer Graph Neural Networks with Learnable Structural and Positional Representations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:02:48.025198Z

Source-reported events for the cited work

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Observation 2609c3b8-fc9d-4185-adbe-3ea06df3ecec · inbound

Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach cites this paper.

Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach Graph Neural Networks with Learnable Structural and Positional Representations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:56:12.283150Z

Source-reported events for the cited work

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Observation b13e6a0e-d41d-405c-9cb1-4e0c29e4d9f8 · inbound

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations cites this paper.

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations Graph Neural Networks with Learnable Structural and Positional Representations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:03.080450Z

Source-reported events for the cited work

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Observation 72c490ff-e8ea-48fa-b54b-6058dca65eb6 · inbound

Graph Positional Autoencoders as Self-supervised Learners cites this paper.

Graph Positional Autoencoders as Self-supervised Learners Graph Neural Networks with Learnable Structural and Positional Representations

Reference 11

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Source-reported events for the cited work

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Observation 7a881b6f-05b3-4391-a297-585d533ebb4e · inbound

Joint Embedding Predictive Architecture for self-supervised pretraining on polymer molecular graphs cites this paper.

Joint Embedding Predictive Architecture for self-supervised pretraining on polymer molecular graphs Graph Neural Networks with Learnable Structural and Positional Representations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T18:57:34.042826Z

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Observation 1f342c6b-e7be-41fb-83cb-eaf61ffa1993 · inbound

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding cites this paper.

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding Graph Neural Networks with Learnable Structural and Positional Representations

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:07.764761Z

Source-reported events for the cited work

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Observation 7bad4e64-1838-4027-9ca3-0a3e89d49a62 · inbound

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference cites this paper.

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference Graph Neural Networks with Learnable Structural and Positional Representations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T17:14:45.458857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2855bef-b5ea-4b75-aebe-a51043d163d9 · inbound

M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations cites this paper.

M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations Graph Neural Networks with Learnable Structural and Positional Representations

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-04T17:48:34.403907Z

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Unavailable: canonical work link unavailable.

Observation 9921554a-859d-426c-9d7c-cd2400ab563a · inbound

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices cites this paper.

Feature Augmentation of GNNs for ILPs: Local Uniqueness Suffices Graph Neural Networks with Learnable Structural and Positional Representations

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.505241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 005fa4e5-5d0b-4494-a96a-25b3f28c7a3e · inbound

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations cites this paper.

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations Graph Neural Networks with Learnable Structural and Positional Representations

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:20:22.941731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 23ba5cdd-e7ef-4c72-9173-d5d1e0051dcf · inbound

Frequency-Corrupt Based Graph Self-Supervised Learning cites this paper.

Frequency-Corrupt Based Graph Self-Supervised Learning Graph Neural Networks with Learnable Structural and Positional Representations

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:32:52.064244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a904b1ed-361b-4b44-936f-a3834f5b16db · inbound

Frequency-Corrupt Based Graph Self-Supervised Learning cites this paper.

Frequency-Corrupt Based Graph Self-Supervised Learning Graph Neural Networks with Learnable Structural and Positional Representations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T16:10:59.616151Z

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Unavailable: canonical work link unavailable.

Observation c13c86a4-035b-4f23-9dd7-9009002962a6 · inbound

VQ-SAD: Vector Quantized Structure Aware Diffusion For Molecule Generation cites this paper.

VQ-SAD: Vector Quantized Structure Aware Diffusion For Molecule Generation Graph Neural Networks with Learnable Structural and Positional Representations

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:21:07.602831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 718492de-7ae0-49b9-af64-8a12263e23f0 · inbound

A Transferable Machine Learning Approach to Predict Optimized Orbitals for Electronic Structure Problems cites this paper.

A Transferable Machine Learning Approach to Predict Optimized Orbitals for Electronic Structure Problems Graph Neural Networks with Learnable Structural and Positional Representations

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:11:17.558953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08dd424b-3559-47fd-a1ec-e649cda420de · inbound

Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning cites this paper.

Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning Graph Neural Networks with Learnable Structural and Positional Representations

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:21:32.147575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7828dd3f-fa02-402b-86bb-e7eca0721580 · inbound

Rethinking Positional Encoding for Neural Vehicle Routing cites this paper.

Rethinking Positional Encoding for Neural Vehicle Routing Graph Neural Networks with Learnable Structural and Positional Representations

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:02:23.493112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee0d8a63-ae91-4835-9e17-3dcc60f750bb · inbound

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation cites this paper.

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation Graph Neural Networks with Learnable Structural and Positional Representations

Reference 227

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:09:38.666686Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f0e3bc4-0984-46fd-9590-21bf3e1783bf · inbound

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning cites this paper.

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Graph Neural Networks with Learnable Structural and Positional Representations

Reference 227

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:31:22.577626Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86e17705-067e-4416-96c4-a8f16d50544c · inbound

AgForce Enables Antigen-conditioned Generative Antibody Design cites this paper.

AgForce Enables Antigen-conditioned Generative Antibody Design Graph Neural Networks with Learnable Structural and Positional Representations

Reference 227

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:20.440858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77460c03-7957-4679-aca4-1fbdb4a573b8 · inbound

Learning Dynamic Stability Landscapes in Synchronization Networks cites this paper.

Learning Dynamic Stability Landscapes in Synchronization Networks Graph Neural Networks with Learnable Structural and Positional Representations

Reference 177

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:21.312786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91611ed0-68b9-445f-b527-ee7c52f34edf · inbound

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning cites this paper.

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning Graph Neural Networks with Learnable Structural and Positional Representations

Reference 205

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.061311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5c752b2e-80d5-46e3-b485-4232b34f039f · inbound

Ramanujan Graph Rewiring with Non Negative Resistance Curvature cites this paper.

Ramanujan Graph Rewiring with Non Negative Resistance Curvature Graph Neural Networks with Learnable Structural and Positional Representations

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:37.546922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5683143-f1b9-4beb-a6da-9d84d5ec0415 · inbound

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Graph Neural Networks with Learnable Structural and Positional Representations

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-06-26T11:09:23.764198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06e3b392-4647-4a07-b35d-bc37c85752ca · inbound

Canopy: A Heterograph Foundation Model for Metabolic Engineering cites this paper.

Canopy: A Heterograph Foundation Model for Metabolic Engineering Graph Neural Networks with Learnable Structural and Positional Representations

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-08T13:04:56.632633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7ea232e-70cf-421b-a660-5bf8f9893f77 · inbound

Learning Adaptive Solvers for Distributed Factor Graph Optimization on Matrix Lie Groups cites this paper.

Learning Adaptive Solvers for Distributed Factor Graph Optimization on Matrix Lie Groups Graph Neural Networks with Learnable Structural and Positional Representations

Reference 159

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T02:26:43.063663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f086195c-3ae9-4d99-8b86-dd2675d98943 · inbound

Distance-Preserving Embeddings in Inhomogeneous Random Graphs cites this paper.

Distance-Preserving Embeddings in Inhomogeneous Random Graphs Graph Neural Networks with Learnable Structural and Positional Representations

Reference 177

Resolution: unresolved; no resolver link, observed 2026-07-14T00:37:04.989965Z

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Observation b3863fa5-677f-4fbf-b055-ce3b52c232e7 · inbound

Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs cites this paper.

Scalable and Efficient Joint Spiking Embedding Predictive Architecture for Large-Scale Dynamic Graphs Graph Neural Networks with Learnable Structural and Positional Representations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T15:32:32.347207Z

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Observation af5d4f5f-ffef-4552-9b60-0230d1ce19aa · inbound

iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data cites this paper.

iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data Graph Neural Networks with Learnable Structural and Positional Representations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:23.227707Z

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Observation 604d6e6d-adb6-4ec6-baf7-f3baad7ff16f · inbound

Guixu: Valuation-Driven Data Discovery for Autonomous AI Agents with On-Chain Attestation cites this paper.

Guixu: Valuation-Driven Data Discovery for Autonomous AI Agents with On-Chain Attestation Graph Neural Networks with Learnable Structural and Positional Representations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:39.437167Z

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Unavailable: canonical work link unavailable.