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Paper Citation Record · LEDGER

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment

As of 20 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 0 inbound Pith citation observations for arXiv:2506.07168.

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

pith.paper-citation-record.v1
2506.07168 v1

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:53.396903Z

measured 95 of 95 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

95 of 95 outbound references displayed

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  • verified fuzzy28
  • unresolved63
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 82834647-2295-4ffd-8e44-440662fd783e · outbound

This paper cites Friends and neighbors on the web.Social networks, 25(3):211– 230, 2003.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Friends and neighbors on the web.Social networks, 25(3):211– 230, 2003

Reference 1

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Observation 2c8a604d-12a1-48c1-bb5d-18192c585144 · outbound

This paper cites Deriving Machine Attention from Human Rationales.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Deriving Machine Attention from Human Rationales

Reference 2

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Observation 6b350226-f1c4-4f52-b67d-365abb9e0b21 · outbound

This paper cites Language models are few-shot learners.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Language models are few-shot learners

Reference 3

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Observation ac08d11e-916f-4ad6-a441-077a4c3e2ec7 · outbound

This paper cites Active Learning for Graph Embedding.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Active Learning for Graph Embedding

Reference 4

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Observation 6f87505a-226a-4a78-9542-ad84e140965a · outbound

This paper cites GraphLLM: Boosting Graph Reasoning Ability of Large Language Model.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

Reference 5

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Observation e3789745-18de-4722-a992-3c5f61bd9346 · outbound

This paper cites Graph Neural Networks for Link Prediction with Subgraph Sketching.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Graph Neural Networks for Link Prediction with Subgraph Sketching

Reference 6

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Observation b24d5736-3731-47af-9483-9d28057fd1f5 · outbound

This paper cites Exploring the potential of large language models (llms) in learning on graphs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Exploring the potential of large language models (llms) in learning on graphs

Reference 7

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Observation f2d1ab24-7e01-409b-b891-c099e4b72148 · outbound

This paper cites Label-free Node Classification on Graphs with Large Language Models (LLMS).

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Label-free Node Classification on Graphs with Large Language Models (LLMS)

Reference 8

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Observation 8ae971d1-94b8-4585-aa81-8a213aab78f8 · outbound

This paper cites Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Reference 9

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Observation b1cb2fea-6fab-43a0-9c46-a0fae393bc5c · outbound

This paper cites Less is more: Attention supervision with counterfactuals for text classification.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Less is more: Attention supervision with counterfactuals for text classification

Reference 10

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Observation 7b7eb758-0ca2-44ec-93d7-eab93686c123 · outbound

This paper cites Human attention in visual question answering: Do humans and deep networks look at the same regions? Computer Vision and Image Understanding, 163:90–100, 2017.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Human attention in visual question answering: Do humans and deep networks look at the same regions? Computer Vision and Image Understanding, 163:90–100, 2017

Reference 11

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Observation dff9a44d-10b0-46dc-a0dd-d80880088b20 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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Observation a12c2620-6c17-4bba-a01b-18da132bdb4c · outbound

This paper cites SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

Reference 13

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Observation 5ee96681-b61b-4a05-b87f-897aafc643b2 · outbound

This paper cites Going beyond xai: A systematic survey for explanation-guided learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Going beyond xai: A systematic survey for explanation-guided learning

Reference 14

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Observation 420d61f4-dd3c-439e-8283-230b388f81fc · outbound

This paper cites Gnes: Learning to explain graph neural networks.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Gnes: Learning to explain graph neural networks

Reference 15

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Observation b86a26d8-4b1b-41ab-8f20-9151a0d05d58 · outbound

This paper cites Res: A robust framework for guiding visual explanation.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Res: A robust framework for guiding visual explanation

Reference 16

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Observation f8af793b-9825-424e-85a2-3c7ffab67152 · outbound

This paper cites Saliency Learning: Teaching the Model Where to Pay Attention.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Saliency Learning: Teaching the Model Where to Pay Attention

Reference 17

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Observation 039a2acc-5700-4ba0-931c-9d1fc48e9272 · outbound

This paper cites Citeseer: An automatic citation indexing system.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Citeseer: An automatic citation indexing system

Reference 18

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Observation 3f554ab2-f63e-4e88-879c-728322716293 · outbound

This paper cites Lee Giles, Kurt D.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Lee Giles, Kurt D

Reference 19

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Observation 44dea314-4e2c-4fbb-8431-3f91df2774c5 · outbound

This paper cites A fundamental model with stable interpretability for traffic forecasting.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment A fundamental model with stable interpretability for traffic forecasting

Reference 20

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Observation f452da46-c789-4fd8-bf8e-30384ad85d64 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment node2vec: Scalable feature learning for networks

Reference 21

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Observation 64758c76-77e6-4319-99af-e1dc9982ab07 · outbound

This paper cites Inductive representation learning on large graphs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Inductive representation learning on large graphs

Reference 22

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Observation 921d6402-cfc2-420c-a420-0311fc9aa56f · outbound

This paper cites Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Reference 23

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Observation 52920c44-1ceb-41ee-b195-15bdea84e3ba · outbound

This paper cites Multitask asynchronous metalearning for few-shot anomalous node detection in dynamic networks.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Multitask asynchronous metalearning for few-shot anomalous node detection in dynamic networks

Reference 24

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Observation 36cd7a0e-adc4-422c-9628-7fdb0ac1cfe1 · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Semi-supervised Concept Bottleneck Models

Reference 25

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Observation 38c883f8-f601-4e22-a446-6c25caea66c9 · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Faithful Interpretation for Graph Neural Networks

Reference 26

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Observation 0069d8e0-0f25-423b-982b-f38d4c71270a · outbound

This paper cites Towards multi-dimensional explanation alignment for medical classification.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Towards multi-dimensional explanation alignment for medical classification

Reference 27

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Observation e6e6386e-01ac-476d-a037-6cf307775389 · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Seat: stable and explainable attention

Reference 28

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Observation 024a6bdd-0c99-4aca-b0a3-da656400bbf7 · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Improving interpretation faithfulness for vision transformers

Reference 29

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Observation 8992f4e9-feed-4d54-8ff2-d6728a2dbbad · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Editable Concept Bottleneck Models

Reference 30

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Observation 61aeae77-79a1-4454-adc3-c175f6b848c1 · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Towards stable and explainable attention mechanisms

Reference 31

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Observation 4fb6c46f-5828-488a-9540-c3ec1f59c34c · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Open graph benchmark: Datasets for machine learning on graphs

Reference 32

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Observation ad01c1ad-243a-4f3a-9419-1e9c52ce48d0 · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Gpt-gnn: Generative pre-training of graph neural networks

Reference 33

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Observation 40ed85b4-3f0e-4eed-bbd1-7dfcbfecb299 · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Learning to Faithfully Rationalize by Construction

Reference 34

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Observation 788cdf8c-7d16-429b-8f46-9d83010f4b8d · outbound

This paper cites Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation

Reference 35

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Observation 704bf263-7a30-4d26-968f-56bbe01d9317 · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment A new status index derived from sociometric analysis

Reference 36

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Observation 16a98564-7b59-4091-8105-afdcd52170ff · outbound

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Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Semi-Supervised Classification with Graph Convolutional Networks

Reference 37

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Observation b1824393-ad7e-4201-bd58-eb90a72530f6 · outbound

This paper cites Variational Graph Auto-Encoders.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Variational Graph Auto-Encoders

Reference 38

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Observation b62433b4-9251-4e68-ba83-c3cf5626a2a2 · outbound

This paper cites Faithful vision- language interpretation via concept bottleneck models.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Faithful vision- language interpretation via concept bottleneck models

Reference 39

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.223567Z digest=sha256:7fda3f666c69bb6a2c96e0cd8400dedd7b2a2d0593c38f445eb224c490895fad

Observation fb112402-558d-4c54-957d-5b92e3e661e5 · outbound

This paper cites Training graph neural networks with 1000 layers.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Training graph neural networks with 1000 layers

Reference 40

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.226449Z digest=sha256:d5d615aaf88d27435e53a20d7b1105a33d0ca45de0e81e6fc03bc8a095f184e4

Observation 28573a53-a00c-42bd-9713-5ee247c8e1e7 · outbound

This paper cites Evaluating graph neural networks for link prediction: Current pitfalls and new benchmarking.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Evaluating graph neural networks for link prediction: Current pitfalls and new benchmarking

Reference 41

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.229486Z digest=sha256:4236ad43d32f88c765fec87ac60c743b88976da55862227d691144406879d6a5

Observation b533cdee-ce1c-47bd-9122-73cf4a892a5c · outbound

This paper cites The link prediction problem for social net- works.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment The link prediction problem for social net- works

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.232828Z digest=sha256:f7bf28a5900f5abcf0811f2305683c506ba1095696c0837062176bead2ac113b

Observation 2a932a56-d6de-4b83-acc3-4d0de008a72d · outbound

This paper cites Learning what and where to attend.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Learning what and where to attend

Reference 43

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source=pdf_text observed=2026-08-07T05:44:53.236379Z digest=sha256:95c71e3d28a05033eef3ca6d70cd5c5d3900eb794e875e3a22aabed453b531d0

Observation a1598fb2-2425-4d04-a0b7-915aa9f3c671 · outbound

This paper cites Taad: Time-varying adversarial anomaly detection in dynamic graphs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Taad: Time-varying adversarial anomaly detection in dynamic graphs

Reference 44

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source=pdf_text observed=2026-08-07T05:44:53.239489Z digest=sha256:970261cf8d0afe438631efed6c88987df3c8fe2fe099c75f6957e150bc9e0372

Observation dd0c25b5-6daa-44e1-87ea-7fba408ee48a · outbound

This paper cites One for All: Towards Training One Graph Model for All Classification Tasks.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment One for All: Towards Training One Graph Model for All Classification Tasks

Reference 45

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source=pdf_text observed=2026-08-07T05:44:53.242558Z digest=sha256:543e9356ad4c55ea0e1cd7ec3e814fb8ab791001debae8b1fd0013a1c48281e0

Observation be1f0745-0dbb-43d3-8f43-d2b02ce79358 · outbound

This paper cites Revisiting Link Prediction: A Data Perspective.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Revisiting Link Prediction: A Data Perspective

Reference 46

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verified exact
local_arxiv, observed 2026-08-07T05:44:53.556298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.245695Z digest=sha256:f1356e1f4a6b9fd9e20fa8bc984ee9207b001d4fe2cae7f575f00e4204fc3d24

Observation 2b26f8a2-5403-4ca8-850e-7bf6e8390b08 · outbound

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

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Automating the construction of internet portals with machine learning

Reference 47

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source=pdf_text observed=2026-08-07T05:44:53.249178Z digest=sha256:f74eb73f4fa70486370ffb83bf3ed0cf53fd47a9aea4a1f6e3f01036f4dfb711

Observation e2629a44-0594-421b-a88e-63a01cca11df · outbound

This paper cites Link prediction via matrix factorization.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Link prediction via matrix factorization

Reference 48

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raw_fallback, observed 2026-08-07T05:44:53.995043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.252185Z digest=sha256:912608ea12d0a57cd9b1673ce7abb6da81fff0e60085c79a3d04fbcb67d7a5fa

Observation a4142f2b-a5d5-4281-91b0-901039772563 · outbound

This paper cites Embedding Human Knowledge into Deep Neural Network via Attention Map.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Embedding Human Knowledge into Deep Neural Network via Attention Map

Reference 49

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source=pdf_text observed=2026-08-07T05:44:53.255081Z digest=sha256:768c3bf4cdc10b3df31ad8e5c8e903e264751a041f4a5d6b2869fe1a09990bbc

Observation 8b475d33-7e71-49b5-a737-dadcb1157a81 · outbound

This paper cites Clustering and preferential attachment in growing networks.Physical review E, 64(2):025102, 2001.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Clustering and preferential attachment in growing networks.Physical review E, 64(2):025102, 2001

Reference 50

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.258559Z digest=sha256:a814828f0b4821e169076f5e1fe5e1dc4e25eac4948da426cb00bfbbebd7ff12

Observation f02112c5-87b0-4e26-a16f-af05cf9a1589 · outbound

This paper cites Distilling Large Language Models for Text-Attributed Graph Learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Distilling Large Language Models for Text-Attributed Graph Learning

Reference 51

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source=pdf_text observed=2026-08-07T05:44:53.261714Z digest=sha256:fa4a5e69d9bcda12562d05cfc0e47530388805f14ba997c4bec8a33e962144d6

Observation ce6e982b-bd4d-4fa1-a89d-e820c5b4e41d · outbound

This paper cites Exploring human-like attention supervision in visual question answering.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Exploring human-like attention supervision in visual question answering

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.264786Z digest=sha256:ee445e35dbd32716279a89266f3ed9191fa042b7f912d7e117a099f803a57879

Observation baa968b0-8722-4e9e-89e2-93fd971213a3 · outbound

This paper cites Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs

Reference 53

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source=pdf_text observed=2026-08-07T05:44:53.267780Z digest=sha256:6b498f81056798c8b41b535e9c82e4fa65829c1412853c869a91545dba6aeae7

Observation 61cee1d1-b488-466c-9afd-9b7643970d64 · outbound

This paper cites Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

Reference 54

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source=pdf_text observed=2026-08-07T05:44:53.270916Z digest=sha256:ad52355173477e9d460b7b1d5102aa0d803621921a7c93741ab8b75ac81a8d22

Observation 2820bed8-cc61-4fc5-9697-57da203a1b06 · outbound

This paper cites Saliency guided experience packing for replay in continual learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Saliency guided experience packing for replay in continual learning

Reference 55

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.274129Z digest=sha256:8ddee9fa211c0b0bb082d7f0d09d9fa40ad604803f3e85293ec36fc5b55faac0

Observation 8140ef89-55d8-43e2-8cab-9340ea9e9dec · outbound

This paper cites Collective classification in network data.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Collective classification in network data

Reference 56

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source=pdf_text observed=2026-08-07T05:44:53.276996Z digest=sha256:bcd6b2ba45cbaf7cb4033b9d6110bdc8858f3612e77424b9bb900db62e95555a

Observation dbc706a5-84d0-4228-8f77-fae0583afb72 · outbound

This paper cites Supervising model attention with human explanations for robust natural language inference.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Supervising model attention with human explanations for robust natural language inference

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.279974Z digest=sha256:1a46e1b11f69c66c606e6048926d1affe4ad5fb84fbe405ba33b1e6fc3cededb

Observation 6112f007-52cb-4558-b759-a9c2806e13ed · outbound

This paper cites Do Human Rationales Improve Machine Explanations?.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Do Human Rationales Improve Machine Explanations?

Reference 58

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source=pdf_text observed=2026-08-07T05:44:53.283428Z digest=sha256:27b3f06e320589eddaa64ed3ad1898a5911161c2d849711d2afdb51986c452c3

Observation 81041e00-b878-47f0-a37b-78cc893d86fc · outbound

This paper cites Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training

Reference 59

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source=pdf_text observed=2026-08-07T05:44:53.286572Z digest=sha256:fe2ad3eb2993347beace2435184f3800a459cdf1c3a3b0e162ccc8b9e33eef81

Observation da52ecd8-802e-44c1-8c78-46be6e213b6c · outbound

This paper cites Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs

Reference 60

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source=pdf_text observed=2026-08-07T05:44:53.289692Z digest=sha256:b9c6eba06263431ae58cc4cae8e97a7c4d0fa9a576332c29ef9e3ff386cedafc

Observation 9f272e06-f256-46c3-a9c1-2ce9e2c89ad4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment LLaMA: Open and Efficient Foundation Language Models

Reference 61

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source=pdf_text observed=2026-08-07T05:44:53.292846Z digest=sha256:1f152af3858403f3ca42b4578d477f9b5720fabd48453a8b164fdaf7de0011f0

Observation 24a9c9fd-660e-48e7-baf1-98cf839be13e · outbound

This paper cites Neural discrete representation learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Neural discrete representation learning

Reference 62

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source=pdf_text observed=2026-08-07T05:44:53.295890Z digest=sha256:824fa13926582bdb718ba114e7d9d026eaf0e0ed64774faedcd41cd9976d3497

Observation ee14c13e-709e-4003-bb52-60958be9150e · outbound

This paper cites Graph attention networks, 2018.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Graph attention networks, 2018

Reference 63

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source=pdf_text observed=2026-08-07T05:44:53.298858Z digest=sha256:ef7620cd7fbbda2ea6a7b86deccfcd9302e9600410f966d1bc2e527619136583

Observation e0505033-1d5f-420d-a08e-c1063ae2a37f · outbound

This paper cites Inductive graph unlearning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Inductive graph unlearning

Reference 64

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source=pdf_text observed=2026-08-07T05:44:53.301836Z digest=sha256:cc9d00168fce49566017bf848829bf9f1167594272da2e1b8925c9decafb8539

Observation 14ff625c-9baa-44dd-834a-cbd31407ffa8 · outbound

This paper cites Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 65

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source=pdf_text observed=2026-08-07T05:44:53.304734Z digest=sha256:e21f292e6141c9bad32110c2c8d793f94168cc07874c2c4150f4fe8364a9ffb0

Observation 2741b64d-bce8-47fa-bb13-152b36ce78bc · outbound

This paper cites Epm: Evolutionary perception method for anomaly detection in noisy dynamic graphs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Epm: Evolutionary perception method for anomaly detection in noisy dynamic graphs

Reference 66

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raw_fallback, observed 2026-08-07T05:44:53.928319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.307973Z digest=sha256:c704d33783608d2fd8a2f9a5bdd7f4d600e2bb931b21d88b25d6f78b4a6b154b

Observation abeb366c-31b6-43b4-a4e9-bb4a0c0bd28c · outbound

This paper cites Persistent local homology in graph learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Persistent local homology in graph learning

Reference 67

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.310906Z digest=sha256:e03427b1766810b62eea72ad34cf8a9455626fd9c3f82d342a35778c2687c122

Observation 41868234-bf34-4f05-8cf6-8d6bc016786e · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers, 2020.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers, 2020

Reference 68

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source=pdf_text observed=2026-08-07T05:44:53.313841Z digest=sha256:859caa6701b74df99904d41fd8a80dc88f08b26e9b9fa2b7365241905aceba33

Observation c92a220b-a027-43b1-bdb5-9aa6c180eb00 · outbound

This paper cites Neural Common Neighbor with Completion for Link Prediction.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Neural Common Neighbor with Completion for Link Prediction

Reference 69

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source=pdf_text observed=2026-08-07T05:44:53.316924Z digest=sha256:0d670e6ff5c3981e63ae78e09a363f36a44a60c64d297132a252a0ee8f44919e

Observation 48373330-6d9e-4876-ad3a-40cf1582dfaa · outbound

This paper cites Preserving node-level privacy in graph neural networks.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Preserving node-level privacy in graph neural networks

Reference 70

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raw_fallback, observed 2026-08-07T05:44:53.904224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.320070Z digest=sha256:5734e9d0365fe73a902c4553157684189fa4bdaaa312facbaa7f950b749b9a84

Observation 76321aaf-b40e-4573-ae25-baadc14704fe · outbound

This paper cites A comprehensive study on text-attributed graphs: Benchmarking and rethinking.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment A comprehensive study on text-attributed graphs: Benchmarking and rethinking

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-07T05:44:53.894323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.323085Z digest=sha256:2d65318019c3355337ee76e232ddf60f931124b8ea6470e8cc85bbcdb461d66c

Observation 3c32e4f2-b6e6-409a-bd2b-2fc75a23090e · outbound

This paper cites Network rep- resentation learning with rich text information.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Network rep- resentation learning with rich text information

Reference 72

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.326076Z digest=sha256:c8e4932258c0a2a19b87e35ec8b8cba29d9b9b18c30b7c0e2b257f98d04e2e10

Observation 9861f3ba-1ad2-41d9-b377-421c61ebc964 · outbound

This paper cites Graphformers: Gnn-nested transformers for representation learning on textual graph.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Graphformers: Gnn-nested transformers for representation learning on textual graph

Reference 73

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raw_fallback, observed 2026-08-07T05:44:53.873948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.328993Z digest=sha256:4b115ba4d1327f42624b3aa5a816888bf4d93f2ca5e4c363e59c1280f59ca7ca

Observation bb5f516c-71db-40e5-a547-5cb1b75c9ae7 · outbound

This paper cites Deep bidirectional language-knowledge graph pretraining.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Deep bidirectional language-knowledge graph pretraining

Reference 74

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raw_fallback, observed 2026-08-07T05:44:53.864417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.332266Z digest=sha256:5a9c1cd0a39c31be5afdb331381a793145a842735917e0b4a4a087bbc796eb02

Observation 8ff1dd83-ce1d-4bc4-9e3c-7db73604027b · outbound

This paper cites Language is All a Graph Needs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Language is All a Graph Needs

Reference 75

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Observation 2f9e59fc-54b7-48f8-9be8-de1caa168714 · outbound

This paper cites Do transformers really perform badly for graph representation? Advances in neural information processing systems, 34:28877–28888, 2021.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Do transformers really perform badly for graph representation? Advances in neural information processing systems, 34:28877–28888, 2021

Reference 76

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source=pdf_text observed=2026-08-07T05:44:53.338508Z digest=sha256:9d18900ea4af7c0a46a805edccbe1dc55a7850925ef076ed38dbf2596fbc5221

Observation 1c2cca25-2e2f-49f4-970c-059e0bd4bc7a · outbound

This paper cites Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs

Reference 77

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source=pdf_text observed=2026-08-07T05:44:53.341577Z digest=sha256:dee4a56b755224b1ebeac0435277fb3b32cfdac0bec9d32a9a0186cc4fe08240

Observation 3c9e0f11-4432-426a-abc6-7acc187c3a96 · outbound

This paper cites Neo-gnns: Neighborhood overlap-aware graph neural networks for link prediction.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Neo-gnns: Neighborhood overlap-aware graph neural networks for link prediction

Reference 78

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source=pdf_text observed=2026-08-07T05:44:53.344779Z digest=sha256:32dd6e8e0feb27b59f6f458ec1f5f852fd409028abcf8073147f75d93718c55c

Observation 953dfbda-e1c5-4ad5-9ce6-58bc9c0e5f43 · outbound

This paper cites Fast multi-resolution trans- former fine-tuning for extreme multi-label text classification.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Fast multi-resolution trans- former fine-tuning for extreme multi-label text classification

Reference 79

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 18cbc971-b689-4a87-8927-09f564663308 · outbound

This paper cites Labeling trick: A theory of using graph neural networks for multi-node representation learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Labeling trick: A theory of using graph neural networks for multi-node representation learning

Reference 80

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Observation e6fab6f6-7532-47b6-aacd-6b12d27231c5 · outbound

This paper cites A multi- classification division-aggregation framework for fake news detection.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment A multi- classification division-aggregation framework for fake news detection

Reference 81

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raw_fallback, observed 2026-08-07T05:44:53.830280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.353528Z digest=sha256:79146fe83c41799429158c2ccfba92f789807a08a088abf7779591552e225253

Observation e01aa1bf-8277-46a4-97e6-e28e82481974 · outbound

This paper cites Magi: Multi-annotated explanation-guided learning.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Magi: Multi-annotated explanation-guided learning

Reference 82

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.356625Z digest=sha256:bf4d579ea5477e58d194a091771a051b8d89d7e2cbf4bb2fb0d1b44c803725c4

Observation 6de096b3-2187-420f-b066-12be7a763002 · outbound

This paper cites Interpretable visual question answering by visual grounding from attention supervision mining.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Interpretable visual question answering by visual grounding from attention supervision mining

Reference 83

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.359407Z digest=sha256:427ed444e823dbc5abc8edbb68cfdd23507d9083f3751f8b08ea724052ee5543

Observation c87b8347-df82-49df-a030-c4aca0b043df · outbound

This paper cites Learning on Large-scale Text-attributed Graphs via Variational Inference.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Learning on Large-scale Text-attributed Graphs via Variational Inference

Reference 84

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source=pdf_text observed=2026-08-07T05:44:53.362133Z digest=sha256:4bb72b626d386dea693667b8beefe8091ee84e5420aaa0dc53af49e1414efb58

Observation 0e627d09-bc7e-41da-a878-22da89d26016 · outbound

This paper cites Fine-grained Sentiment Analysis with Faithful Attention.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Fine-grained Sentiment Analysis with Faithful Attention

Reference 85

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source=pdf_text observed=2026-08-07T05:44:53.365271Z digest=sha256:cb759a9048e57d80c97c0dcd5e79da95bef3ff2ccbc07e161df5f5f7d969643d

Observation 35431791-a9c7-49eb-ad77-6006a08c54d0 · outbound

This paper cites GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

Reference 86

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source=pdf_text observed=2026-08-07T05:44:53.368460Z digest=sha256:4bf8b493f0c189b888177381e5623c2ddda7372d05ed8272dcef2c6c5c1b62d4

Observation 6072726d-9199-45ee-85a6-a6b2c3fecc2e · outbound

This paper cites Predicting missing links via local information.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Predicting missing links via local information

Reference 87

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.371519Z digest=sha256:8b0a60f0ff288b1f6ee65a21f8a4a5f3f7df5ce85c8f690ec71c9494410b5688

Observation 3272582b-9810-48cc-bdc1-b11dc0e2bef5 · outbound

This paper cites Textgnn: Improving text encoder via graph neural network in sponsored search.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Textgnn: Improving text encoder via graph neural network in sponsored search

Reference 88

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.374466Z digest=sha256:22f93b228bc5d4c9661511358ed3b8b2a64c123a1c11de071859a6a86410ba36

Observation 7cc3575c-96c3-4198-8cdc-769b4bca6e7e · outbound

This paper cites Efficient Tuning and Inference for Large Language Models on Textual Graphs.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Efficient Tuning and Inference for Large Language Models on Textual Graphs

Reference 89

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Observation 14e8eb68-3854-4ecf-9689-e60719d059a1 · outbound

This paper cites Neural bellman-ford networks: A general graph neural network framework for link prediction.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Neural bellman-ford networks: A general graph neural network framework for link prediction

Reference 90

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raw_fallback, observed 2026-08-07T05:44:53.780507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.380942Z digest=sha256:02793e04686149cec6b9c482f14095e533bf60a6da4f6075b35cfbcd8aef9d06

Observation d9b224dd-677e-48a3-9df3-2f652e39c38f · outbound

This paper cites an unresolved cited work.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Unresolved cited work

Reference 91

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.384236Z digest=sha256:a3ac3e6c2f6533e6e038bdd43122611fd71d6dbf6ee20466a92b19824917f5b8

Observation b1fcf67d-2a16-4e27-b0c8-8cc106ff33e0 · outbound

This paper cites an unresolved cited work.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Unresolved cited work

Reference 92

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.387569Z digest=sha256:c6abb4867312b12df4e3aa2f57b7b8cae8d0d9a030650e61cb3d34a44aa7a84b

Observation a075c833-aa94-4a4f-b628-a7c8778c49f4 · outbound

This paper cites an unresolved cited work.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Unresolved cited work

Reference 93

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unresolved
raw_fallback, observed 2026-08-07T05:44:53.748623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.390740Z digest=sha256:40f96aa83d140253aeebe8dd07b1dd3429f1c309c16cba9a9938ae1b28de9c0c

Observation a75800a9-4f03-41fc-b301-2b6c793d0324 · outbound

This paper cites an unresolved cited work.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Unresolved cited work

Reference 94

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.393814Z digest=sha256:9adb220329f49c48bf61c90041a2f50bc866947a2b910feef6963ec16ed2ed4b

Observation 002f7c7d-cceb-4d59-9849-043a2655f734 · outbound

This paper cites And you should tell me what knowledge is needed to understand the concepts.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment And you should tell me what knowledge is needed to understand the concepts

Reference 95

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raw_fallback, observed 2026-08-07T05:44:53.730356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:44:53.396903Z digest=sha256:017f1af22b6230b4f2974d8e0c1d5d5904efa915f491fc8358ab54822f9a998b

Pith citing papers

No inbound Pith citation observations are available.