Paper Citation Record · LEDGER

Instance-Aware Graph Prompt Learning

As of 13 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2411.17676.

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

pith.paper-citation-record.v1
2411.17676 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:56:36.819840Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:08:19.174713Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:16:02.750930Z

Reference resolution

54 of 54 outbound references displayed

verified exact0
verified fuzzy39
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ca82038-a810-4dd7-a92b-1f81c4966bbd · outbound

This paper cites Extractive opinion summarization in quantized transformer spaces.

Instance-Aware Graph Prompt Learning Extractive opinion summarization in quantized transformer spaces

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.298084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 29223f66-74e5-4200-9847-88e8bb2eba06 · outbound

This paper cites Beit: Bert pre-training of image transformers.

Instance-Aware Graph Prompt Learning Beit: Bert pre-training of image transformers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.288862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86c5739d-d435-477e-b1db-b01cd2f720be · outbound

This paper cites Vector-quantized input-contextualized soft prompts for natural language understanding.

Instance-Aware Graph Prompt Learning Vector-quantized input-contextualized soft prompts for natural language understanding

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.279352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cf712884-c5fa-41ea-92b2-8a3da239d66a · outbound

This paper cites Enhancing graph neural network-based fraud detectors against camouflaged fraudsters.

Instance-Aware Graph Prompt Learning Enhancing graph neural network-based fraud detectors against camouflaged fraudsters

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.269863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a5459a05-eb09-4a5f-8150-0ab6be20442e · outbound

This paper cites Multiscale vision transformers.

Instance-Aware Graph Prompt Learning Multiscale vision transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.260847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2c34d70-e8f5-407f-bdfd-02c6f94ea938 · outbound

This paper cites Graph neural networks for social recommendation.

Instance-Aware Graph Prompt Learning Graph neural networks for social recommendation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.253118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bc016e44-72a5-4a61-95fc-551503830447 · outbound

This paper cites Universal prompt tuning for graph neural networks.

Instance-Aware Graph Prompt Learning Universal prompt tuning for graph neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.243957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fd401f2a-0d9a-4a8b-9ebc-17e0596eb0be · outbound

This paper cites Making Pre-trained Language Models Better Few-shot Learners.

Instance-Aware Graph Prompt Learning Making Pre-trained Language Models Better Few-shot Learners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.684286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84019a22-8bbb-4e4e-835e-07942c5ca51f · outbound

This paper cites Bellis, A.

Instance-Aware Graph Prompt Learning Bellis, A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.235067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 40b17744-a06a-4e9a-9503-8363603a75ba · outbound

This paper cites Quantization.

Instance-Aware Graph Prompt Learning Quantization

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.226091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 726611e7-3619-4823-b345-d40c559022a4 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Instance-Aware Graph Prompt Learning node2vec: Scalable feature learning for networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.216788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ad4ec56-45e5-40a5-a2a5-9f92d00d59bd · outbound

This paper cites PPT: Pre-trained Prompt Tuning for Few-shot Learning.

Instance-Aware Graph Prompt Learning PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.696323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 514c3168-b214-4707-9ecd-6b63d9b3b691 · outbound

This paper cites Few-shot graph learning for molecular property prediction.

Instance-Aware Graph Prompt Learning Few-shot graph learning for molecular property prediction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.207142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 41ff7514-5442-4723-b00a-f0d521bffd04 · outbound

This paper cites A deep graph neural network-based mechanism for social recommendations.

Instance-Aware Graph Prompt Learning A deep graph neural network-based mechanism for social recommendations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.198460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 575eaa4c-d0d3-4d7b-ab75-13de9d3e90cf · outbound

This paper cites Inductive representation learning on large graphs.

Instance-Aware Graph Prompt Learning Inductive representation learning on large graphs

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.190418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44db2749-d4db-4555-b72c-23fec72292cc · outbound

This paper cites Strategies for pre-training graph neural networks.

Instance-Aware Graph Prompt Learning Strategies for pre-training graph neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.181529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation be02c24e-0987-4b7c-9d3c-30701554b6de · outbound

This paper cites Strategies for pre-training graph neural networks.

Instance-Aware Graph Prompt Learning Strategies for pre-training graph neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.173042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b90e845d-266e-4c63-92a6-321b51be16e0 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

Instance-Aware Graph Prompt Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.714523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b5f071a-edca-4532-b850-5188b57c75f6 · outbound

This paper cites Self-supervised Learning on Graphs: Deep Insights and New Direction.

Instance-Aware Graph Prompt Learning Self-supervised Learning on Graphs: Deep Insights and New Direction

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.717412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0bd060-46f9-4671-b455-b0c9694317f4 · outbound

This paper cites A Comprehensive Survey on Deep Graph Representation Learning.

Instance-Aware Graph Prompt Learning A Comprehensive Survey on Deep Graph Representation Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.721330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15603b7a-8909-450e-882c-a9d900eb7229 · outbound

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

Instance-Aware Graph Prompt Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.724786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd54f70-8b52-4d0f-bc8f-11ad12b0f6db · outbound

This paper cites Variational Graph Auto-Encoders.

Instance-Aware Graph Prompt Learning Variational Graph Auto-Encoders

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.728207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c782a5e-f41b-481c-8e1c-75f0e462c076 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

Instance-Aware Graph Prompt Learning Prefix-tuning: Optimizing continuous prompts for generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.164467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6504329b-965e-4061-a041-737294980414 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Instance-Aware Graph Prompt Learning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.734339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 590b3d37-ee61-4071-8354-b22ca230d485 · outbound

This paper cites One for all: Towards training one graph model for all classification tasks.

Instance-Aware Graph Prompt Learning One for all: Towards training one graph model for all classification tasks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.153645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34b17b8e-0c3c-46f0-8bb0-30bfd41572f7 · outbound

This paper cites Indigo: Gnn-based inductive knowledge graph completion using pair-wise encoding.

Instance-Aware Graph Prompt Learning Indigo: Gnn-based inductive knowledge graph completion using pair-wise encoding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.142235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb86cf37-ae06-4c05-9dc1-11c4b021d722 · outbound

This paper cites P -tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks.

Instance-Aware Graph Prompt Learning P -tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.132523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation be4f525c-afdc-4a59-9a88-b6988aabffba · outbound

This paper cites P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks.

Instance-Aware Graph Prompt Learning P-tuning: Prompt tuning can be comparable to fine-tuning across scales and tasks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.124007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b0da9a74-1432-4e12-ba19-057048b7a606 · outbound

This paper cites Pick and choose: A gnn-based imbalanced learning approach for fraud detection.

Instance-Aware Graph Prompt Learning Pick and choose: A gnn-based imbalanced learning approach for fraud detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.115286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 68895dbc-ce07-4fba-94b3-d1538a9695fc · outbound

This paper cites Content matters: a gnn-based model combined with text semantics for social network cascade prediction.

Instance-Aware Graph Prompt Learning Content matters: a gnn-based model combined with text semantics for social network cascade prediction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.106502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af6c45b7-fc3f-4538-b6da-130689398c37 · outbound

This paper cites Graphprompt: Unifying pre-training and downstream tasks for graph neural networks.

Instance-Aware Graph Prompt Learning Graphprompt: Unifying pre-training and downstream tasks for graph neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.097416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1a9a018d-a5fc-4520-b14f-78812456c105 · outbound

This paper cites Large-scale comparison of machine learning methods for drug target prediction on chembl.

Instance-Aware Graph Prompt Learning Large-scale comparison of machine learning methods for drug target prediction on chembl

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.088448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 09dbc28a-8002-4374-88a6-59db25a29561 · outbound

This paper cites o f, G \.

Instance-Aware Graph Prompt Learning o f, G \

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.080274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3be2a0e9-2306-4306-b6af-200afd43eac7 · outbound

This paper cites Theory and Experiments on Vector Quantized Autoencoders.

Instance-Aware Graph Prompt Learning Theory and Experiments on Vector Quantized Autoencoders

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.763409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de07ce7c-53c2-46f2-b9c2-1ee4f7c0844a · outbound

This paper cites Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.

Instance-Aware Graph Prompt Learning Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.766590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59736880-ef35-4005-9488-a261f57a32d3 · outbound

This paper cites an unresolved cited work.

Instance-Aware Graph Prompt Learning Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:56:37.071110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5075154f-99e7-41f4-913c-6037d1f7c693 · outbound

This paper cites Gppt: Graph pre-training and prompt tuning to generalize graph neural networks.

Instance-Aware Graph Prompt Learning Gppt: Graph pre-training and prompt tuning to generalize graph neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.060568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 17dd9e2a-6d12-4493-9dff-628dc9191072 · outbound

This paper cites All in one: Multi-task prompting for graph neural networks.

Instance-Aware Graph Prompt Learning All in one: Multi-task prompting for graph neural networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.051928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22a5dd92-4f1d-4ac6-a0d6-cb90a4ba0531 · outbound

This paper cites an unresolved cited work.

Instance-Aware Graph Prompt Learning Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:56:37.042379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bb9d45bc-eb7c-43c6-8857-1194c6437c5b · outbound

This paper cites Visualizing data using t-sne.

Instance-Aware Graph Prompt Learning Visualizing data using t-sne

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.033433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f30edba6-d49f-44fc-bd77-54977d701d0e · outbound

This paper cites Graph Attention Networks.

Instance-Aware Graph Prompt Learning Graph Attention Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.783305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c872408-57fb-4dfc-8e3a-1fbfd85b8b4e · outbound

This paper cites Deep graph infomax.

Instance-Aware Graph Prompt Learning Deep graph infomax

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.024818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52b32dc4-bce7-4431-a1a8-e33b7fd057db · outbound

This paper cites Moleculenet: a benchmark for molecular machine learning.

Instance-Aware Graph Prompt Learning Moleculenet: a benchmark for molecular machine learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.015514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6047e5ad-dbbe-422a-8bc4-65eeafae8a33 · outbound

This paper cites Simgrace: A simple framework for graph contrastive learning without data augmentation.

Instance-Aware Graph Prompt Learning Simgrace: A simple framework for graph contrastive learning without data augmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:37.006229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d79f3db1-9fda-4618-a8fb-035b6e3d5a9f · outbound

This paper cites How powerful are graph neural networks? In ICLR, 2018.

Instance-Aware Graph Prompt Learning How powerful are graph neural networks? In ICLR, 2018

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.795045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb6627c-4043-4ba6-ad35-b5e308f024ac · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings.

Instance-Aware Graph Prompt Learning Revisiting semi-supervised learning with graph embeddings

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:36.992724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10b1a074-a73c-423f-a15a-544314292044 · outbound

This paper cites A comprehensive survey of graph neural networks for knowledge graphs.

Instance-Aware Graph Prompt Learning A comprehensive survey of graph neural networks for knowledge graphs

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:36.983037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b7a9462-60cf-4df7-af72-9e14fc7ea0db · outbound

This paper cites Graph contrastive learning with augmentations.

Instance-Aware Graph Prompt Learning Graph contrastive learning with augmentations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:36.972963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70441fcc-c42b-4114-aeeb-dc069f77f506 · outbound

This paper cites Graph contrastive learning with augmentations.

Instance-Aware Graph Prompt Learning Graph contrastive learning with augmentations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:36.963301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78a7ef28-4cd6-4996-9ac4-d83a02a7e1cc · outbound

This paper cites Graph transformer networks.

Instance-Aware Graph Prompt Learning Graph transformer networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:36.954851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46078f27-f64d-4811-9081-79f4d853aeaf · outbound

This paper cites Graph transformer networks.

Instance-Aware Graph Prompt Learning Graph transformer networks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:36.946571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5e5c53c-d51a-4b57-9570-b72ad7a24cad · outbound

This paper cites Beyond fully-connected layers with quaternions: Parameterization of hypercomplex multiplications with 1/n parameters.

Instance-Aware Graph Prompt Learning Beyond fully-connected layers with quaternions: Parameterization of hypercomplex multiplications with 1/n parameters

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:36.937831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9687f69f-9957-4587-8b0b-0a6624cb214a · outbound

This paper cites Graph contrastive learning with adaptive augmentation.

Instance-Aware Graph Prompt Learning Graph contrastive learning with adaptive augmentation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:56:36.928291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 504c79af-3172-412e-bedc-32fc38f75566 · outbound

This paper cites write newline.

Instance-Aware Graph Prompt Learning write newline

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T11:56:36.819840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7f92f6c7-83a2-4169-9217-228dd05d6367 · inbound

Unified Graph Prompt Learning via Low-Rank Graph Message Prompting cites this paper.

Unified Graph Prompt Learning via Low-Rank Graph Message Prompting Instance-Aware Graph Prompt Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:02.758050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.