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most citedRelphormer: Relational Graph Transformer for Knowledge Graph Representations

57 citations · 222 across the 15 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 10 cited

Multimodal Analogical Reasoning over Knowledge Graphs

Ningyu Zhang, Lei Li, Xiang Chen +3

Analogical reasoning is fundamental to human cognition and holds an important place in various fields. However, previous studies mainly focus on single-modal analogical reasoning a…

q-bio.QM2022★ 2 cited

Multi-modal Protein Knowledge Graph Construction and Applications

Siyuan Cheng, Xiaozhuan Liang, Zhen Bi +2

Existing data-centric methods for protein science generally cannot sufficiently capture and leverage biology knowledge, which may be crucial for many protein tasks. To facilitate r…

cs.CL2022★ 26 cited

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

Xiang Chen, Lei Li, Ningyu Zhang +6

Prompt learning approaches have made waves in natural language processing by inducing better few-shot performance while they still follow a parametric-based learning paradigm; the…

cs.CL2022★ 57 cited

Relphormer: Relational Graph Transformer for Knowledge Graph Representations

Zhen Bi, Siyuan Cheng, Jing Chen +3

Transformers have achieved remarkable performance in widespread fields, including natural language processing, computer vision and graph mining. However, vanilla Transformer archit…

cs.CL2022★ 2 cited

Contrastive Demonstration Tuning for Pre-trained Language Models

Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng +3

Pretrained language models can be effectively stimulated by textual prompts or demonstrations, especially in low-data scenarios. Recent works have focused on automatically searchin…

q-bio.BM2022★ 50 cited

OntoProtein: Protein Pretraining With Gene Ontology Embedding

Ningyu Zhang, Zhen Bi, Xiaozhuan Liang +6

Self-supervised protein language models have proved their effectiveness in learning the proteins representations. With the increasing computational power, current protein language…

cs.CL2022★ 5 cited

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

Ningyu Zhang, Xin Xu, Liankuan Tao +19

We present an open-source and extensible knowledge extraction toolkit DeepKE, supporting complicated low-resource, document-level and multimodal scenarios in the knowledge base pop…