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Papers
Bridging Local Details and Global Context in Text-Attributed Graphs
EMNLP 2024
Controlled Transformation of Text-Attributed Graphs
EMNLP 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
NeurIPS 2024
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
ICLR 2024
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
EMNLP 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
NeurIPS 2024
STAGE: Simplified Text-Attributed Graph Embeddings using Pre-trained LLMs
ACL 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
NeurIPS 2024
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
NeurIPS 2023
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs
EMNLP 2023
Learning on Large-scale Text-attributed Graphs via Variational Inference
ICLR 2023
Pretraining Language Models with Text-Attributed Heterogeneous Graphs
EMNLP 2023
Unleashing the Power of Language Models in Text-Attributed Graph
EMNLP 2023