20:16
HOT - Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
Scalable Parallel Computing Lab, SPCL @ ETH Zurich
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Graphormer Explained in 3 Minutes! | How Transformers Finally Learned Graphs
Kavishka Abeywardana
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Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained
Aleksa Gordić - The AI Epiphany
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![[S+SSPR 2020] Graph Transformer: Learning Better Representations for Graph Neural Network — David Wang — hot higher order dynamic graph representation learning with efficient transformers YouTube to MP3 & MP4 download on TubeGalore](/api/image/xS4bNwhbs6Q/mqdefault)
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Transformers are Graph Attention Networks !? - Oxford Geometric Deep Learning
Federico Barbero
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9:11
Transformers, explained: Understand the model behind GPT, BERT, and T5
Google Cloud Tech
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![[NeurIPS 2022] Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs — Ming Jin — hot higher order dynamic graph representation learning with efficient transformers YouTube to MP3 & MP4 download on TubeGalore](/api/image/oUy6eSdOhms/mqdefault)
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45:19
Graphs and Transformers: Exploring the Next AI Frontiers
Data Science Festival
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5:36
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