Pure Transformers are Powerful Graph Learners


5

505

August 17, 2023

GraphBert: Only Attention is Needed for Learning Graph Representations


0

1227

July 26, 2023

Attending to Graph Transformers


0

1353

July 21, 2023

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation


0

795

July 7, 2023

TabPFN: A Transformer That Solves Small Tabular Classification


0

451

June 19, 2023

TwHINBERT: A SociallyEnriched Pretrained Language Model for Multilingual


0

246

June 15, 2023

Inductive Matrix Completion Based on Graph Neural Networks


0

243

June 15, 2023

Complex Embeddings for Simple Link Prediction


0

254

June 15, 2023

HighResolution Image Synthesis with Latent Diffusion Models


0

252

June 15, 2023

Do Transformers Really Perform Bad for Graph Representation?


0

306

June 15, 2023

Global SelfAttention as a Replacement for Graph Convolution


0

247

June 15, 2023

Node Feature Extraction by SelfSupervised Multiscale Neighborhood Prediction


0

237

June 15, 2023

Scalable Graph Neural Networks for Heterogeneous Graphs


0

165

June 15, 2023

Positionbased Hash Embeddings For Scaling Graph Neural Networks


0

201

June 15, 2023

Positionaware Graph Neural Networks


0

257

June 15, 2023

Graph Neural Networks with Learnable Structural and Positional Representations


0

238

June 15, 2023

Inductive Graph Embeddings through Locality Encodings


0

268

June 15, 2023
