|
Welcome! :wave:
|
|
0
|
336
|
June 14, 2023
|
|
About the General category
|
|
0
|
65
|
June 14, 2023
|
|
Pure Transformers are Powerful Graph Learners
|
|
5
|
484
|
August 17, 2023
|
|
Graph-Bert: Only Attention is Needed for Learning Graph Representations
|
|
0
|
1213
|
July 26, 2023
|
|
Attending to Graph Transformers
|
|
0
|
1339
|
July 21, 2023
|
|
Transformers for Node Classification
|
|
13
|
503
|
July 20, 2023
|
|
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
|
|
0
|
781
|
July 7, 2023
|
|
TabPFN: A Transformer That Solves Small Tabular Classification
|
|
0
|
425
|
June 19, 2023
|
|
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual
|
|
0
|
231
|
June 15, 2023
|
|
Inductive Matrix Completion Based on Graph Neural Networks
|
|
0
|
229
|
June 15, 2023
|
|
Complex Embeddings for Simple Link Prediction
|
|
0
|
238
|
June 15, 2023
|
|
High-Resolution Image Synthesis with Latent Diffusion Models
|
|
0
|
234
|
June 15, 2023
|
|
Do Transformers Really Perform Bad for Graph Representation?
|
|
0
|
297
|
June 15, 2023
|
|
Global Self-Attention as a Replacement for Graph Convolution
|
|
0
|
231
|
June 15, 2023
|
|
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
|
|
0
|
222
|
June 15, 2023
|
|
Scalable Graph Neural Networks for Heterogeneous Graphs
|
|
0
|
155
|
June 15, 2023
|
|
Position-based Hash Embeddings For Scaling Graph Neural Networks
|
|
0
|
187
|
June 15, 2023
|
|
Position-aware Graph Neural Networks
|
|
0
|
242
|
June 15, 2023
|
|
Graph Neural Networks with Learnable Structural and Positional Representations
|
|
0
|
231
|
June 15, 2023
|
|
Inductive Graph Embeddings through Locality Encodings
|
|
0
|
256
|
June 15, 2023
|