Graph Neural Networks for Image Similarity: An Alternative to Hashing? Post date February 26, 2025 Post author By Praneeth Reddy Vatti Post categories In alternative-to-hashing, artificial-intelligence, content-moderation-system, graph-neural-networks, image-similarity, locality-sensitive-hashing, perceptual-hashing, resnet
Here’s the Neural Network That Can Predict Your Next Online Friend Post date February 13, 2025 Post author By Andrei Post categories In artificial-intelligence, graph-neural-networks, graphs, hackernoon-top-story, link-prediction, neural-networks-for-prediction, predictive-neural-networks, sagemaker
Predicting Links in Graphs with Graph Neural Networks and DGL.ai Post date November 6, 2024 Post author By Andrei Post categories In ai, deep-graph-library, dgl.ai, graph-neural-networks, graphs, hackernoon-top-story, link-prediction, ml
Extending GNN Learning: 11 Additional Framework Applications Post date October 22, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
Comprehensive Overview of GNN Experiments: Hardware, Hyperparameters, and Findings Post date October 22, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
Optimizing GNNs: A Sampling-Based Solution to the k-Center Problem Post date October 22, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
Unfair Generalization in Graph Neural Networks (GNNs) Post date October 22, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
The HackerNoon Newsletter: Startups of The Year: How to Nominate (10/21/2024) Post date October 21, 2024 Post author By Noonification Post categories In ai, ai-deepfakes, graph-neural-networks, hackernoon-newsletter, latest-tect-stories, noonification, personal-growth, soty-2024
Understanding the Generalization Performance of GNNs: Topology Awareness and Future Directions Post date October 21, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
Case Study: Evaluating GNN Performance Using Shortest-Path Distance for Generalization and Fairness Post date October 21, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
On the Topology Awareness and Generalization Performance of Graph Neural Networks: Main Results Post date October 21, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
Framework for Analyzing Topology Awareness and Generalization in Graph Neural Networks Post date October 21, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
Exploring Topology Awareness, Generalization, and Active Learning in Graph Neural Networks Post date October 21, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, k-shot-learning, semi-supervised-learning, topology-awareness
Understanding Topology Awareness in Graph Neural Networks Post date October 21, 2024 Post author By Computational Technology for All Post categories In active-learning, computer-vision, deep-learning-spline-theory, gnn-limitations, graph-neural-networks, hackernoon-top-story, semi-supervised-learning, topology-awareness
Graph Learning News Review: Hot-Topic Facts of Spring 2021 to Take into Account Post date May 10, 2021 Post author By George Anadiotis Post categories In Analytics, artificial-intelligence, data-science, graph-database, graph-neural-networks, knowledge-graph, Research, seo
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