Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment | Paper Citation Record

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

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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

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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

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This paper cites Active Learning for Graph Embedding.

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

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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

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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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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

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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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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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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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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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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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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

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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

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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

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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

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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

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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

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This paper cites Lee Giles, Kurt D.

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

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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

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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

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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

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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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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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This paper cites Semi-supervised Concept Bottleneck Models.

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

Reference 25

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This paper cites Faithful Interpretation for Graph Neural Networks.

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

Reference 26

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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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This paper cites Seat: stable and explainable attention.

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

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This paper cites Improving interpretation faithfulness for vision transformers.

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

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This paper cites Editable Concept Bottleneck Models.

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

Reference 30

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This paper cites Towards stable and explainable attention mechanisms.

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

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This paper cites Open graph benchmark: Datasets for machine learning on graphs.

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

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

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This paper cites Learning to Faithfully Rationalize by Construction.

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

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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

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This paper cites A new status index derived from sociometric analysis.

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

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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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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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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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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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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

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

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

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

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

Reference 46

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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

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

Reference 48

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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

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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

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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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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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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

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

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

Reference 56

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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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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?

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

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

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

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

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

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

Reference 64

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

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

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

Reference 67

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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

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

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

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

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

Reference 74

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

Reference 75

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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

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

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

Reference 82

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

Reference 85

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

Reference 87

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

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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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Reference 91

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Reference 92

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Reference 93

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

Reference 94

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:44:53.730356Z

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