HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks | Paper Citation Record

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Unresolved cited work

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Language Models are Few-Shot Learners

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks LLaGA: Large Language and Graph Assistant

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Unresolved cited work

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This paper cites Talk like a Graph: Encoding Graphs for Large Language Models.

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Talk like a Graph: Encoding Graphs for Large Language Models

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This paper cites GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Unresolved cited work

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Patton: Language Model Pretraining on Text-Rich Networks

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Unresolved cited work

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Fine-tune BERT for Extractive Summarization

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks RoBERTa: A Robustly Optimized BERT Pretraining Approach

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Decoupled Weight Decay Regularization

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Unresolved cited work

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks GPT-4 Technical Report

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Unresolved cited work

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks LinkBERT: Pretraining Language Models with Document Links

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Pretraining Language Models with Text-Attributed Heterogeneous Graphs

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks the Journal of machine Learning research 9 (2008), 1871–1874

Reference 2008

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks In The world wide web conference

Reference 2019

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This paper cites IEEE Transactions on Knowledge and Data Engineering 35, 2 (2021), 1637–1650.

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks IEEE Transactions on Knowledge and Data Engineering 35, 2 (2021), 1637–1650

Reference 2021

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HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks In Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining

Reference 2022

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