Pure Transformers are Powerful Graph Learners


5

191

August 17, 2023

GraphBert: Only Attention is Needed for Learning Graph Representations


0

924

July 26, 2023

Attending to Graph Transformers


0

1091

July 21, 2023

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation


0

483

July 7, 2023

TabPFN: A Transformer That Solves Small Tabular Classification


0

88

June 19, 2023

TwHINBERT: A SociallyEnriched Pretrained Language Model for Multilingual


0

112

June 15, 2023

Inductive Matrix Completion Based on Graph Neural Networks


0

85

June 15, 2023

Complex Embeddings for Simple Link Prediction


0

80

June 15, 2023

HighResolution Image Synthesis with Latent Diffusion Models


0

68

June 15, 2023

Do Transformers Really Perform Bad for Graph Representation?


0

115

June 15, 2023

Global SelfAttention as a Replacement for Graph Convolution


0

99

June 15, 2023

Node Feature Extraction by SelfSupervised Multiscale Neighborhood Prediction


0

61

June 15, 2023

Scalable Graph Neural Networks for Heterogeneous Graphs


0

54

June 15, 2023

Positionbased Hash Embeddings For Scaling Graph Neural Networks


0

62

June 15, 2023

Positionaware Graph Neural Networks


0

78

June 15, 2023

Graph Neural Networks with Learnable Structural and Positional Representations


0

95

June 15, 2023

Inductive Graph Embeddings through Locality Encodings


0

120

June 15, 2023
