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Welcome! :wave:
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0
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171
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June 14, 2023
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Pure Transformers are Powerful Graph Learners
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5
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190
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August 17, 2023
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Graph-Bert: Only Attention is Needed for Learning Graph Representations
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0
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924
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July 26, 2023
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Attending to Graph Transformers
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0
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1090
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July 21, 2023
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Transformers for Node Classification
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13
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256
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July 20, 2023
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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
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0
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482
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July 7, 2023
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TabPFN: A Transformer That Solves Small Tabular Classification
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0
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87
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June 19, 2023
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TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual
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0
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111
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June 15, 2023
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Inductive Matrix Completion Based on Graph Neural Networks
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0
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85
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June 15, 2023
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Complex Embeddings for Simple Link Prediction
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0
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79
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June 15, 2023
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High-Resolution Image Synthesis with Latent Diffusion Models
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0
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67
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June 15, 2023
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Do Transformers Really Perform Bad for Graph Representation?
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0
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115
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June 15, 2023
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Global Self-Attention as a Replacement for Graph Convolution
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0
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98
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June 15, 2023
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Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
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0
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60
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June 15, 2023
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Scalable Graph Neural Networks for Heterogeneous Graphs
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0
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54
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June 15, 2023
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Position-based Hash Embeddings For Scaling Graph Neural Networks
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0
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61
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June 15, 2023
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Position-aware Graph Neural Networks
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0
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77
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June 15, 2023
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Graph Neural Networks with Learnable Structural and Positional Representations
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0
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94
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June 15, 2023
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Inductive Graph Embeddings through Locality Encodings
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0
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120
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June 15, 2023
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