Using Graph Neural Networks for Multi-Node Representation Learning | Pan Li Published 2022-03-31 Download video MP4 360p Recommendations 47:05 Graph Neural Networks for Link Prediction with Subgraph Sketching 1:34:56 KAN: Kolmogorov-Arnold Networks | Ziming Liu 59:00 An Introduction to Graph Neural Networks: Models and Applications 1:11:16 Lecture 6: Backpropagation 27:14 But what is a GPT? Visual intro to Transformers | Chapter 5, Deep Learning 12:09 Self-/Unsupervised GNN Training 11:14 The Man Who Solved the World’s Hardest Math Problem 18:34 GNN Project #3.1 - Graph-level predictions 1:02:59 D-Flow: Differentiating through Flows for Controlled Generation | Heli Ben-Hamu 57:29 Multimodal language models for mapping the genotype-phenotype relationship | Farhan Khodaee 1:24:23 Deep Dive on Kolmogorov–Arnold Neural Networks (MLBoost Seminars 6) Similar videos 43:45 Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning 1:05:43 On Recoverability of Graph Neural Network Representation | Maxim Fishman 1:16:32 Machine Learning with Graphs: Graph Neural Network Model - Design Space 1:24:42 Machine Learning with Graphs: Graph Neural Network Model 59:32 Graph Representation Learning: William L. Hamilton - 2021 McGill AI Learnathon 31:52 Stanford CS224W: ML with Graphs | 2021 | Lecture 9.2 - Designing the Most Powerful GNNs 14:21 graphbert part 1 HD 1080p 00:41 Fluid Simulation with Graph Neural Networks - Canyon 14:26 Friendly Introduction to Temporal Graph Neural Networks (and some Traffic Forecasting) 1:19:00 Graph Neural Networks User Group Meeting on April 29, 2021 54:46 Molecule Representation Learning: A Perspective from Topology, Geometry, and Textual Description 1:20:19 Graph Ordering Attention Networks | Michail Chatzianastasis & Johannes F. Lutzeyer 1:15:40 Learning and Extrapolation in Graph Neural Networks 15:48 NeurIPS 2021 | ADGCL : Adversarial Graph Augmentation to Improve Graph Contrastive 15:23 Neural Predicting Higher-order Patterns in Temporal Networks 1:05:47 Graph Neural Networks: Foundations, Frontiers, and Applications- Lingfei (Teddy) Wu More results