Abstract: The effectiveness of graph convolutional networks (GCNs) has been widely demonstrated in skeleton-based action recognition. However, most existing GCN-based methods use a dense adjacency ...
9/23/2021: Create a "latest" branch to enable running IGMC with latest PyG versions. 11/23/2020: Optimized the subgraph extraction speed further. On large datasets it shows up to 20 times speed-up.
Javascript Data Structure & TypeScript Data Structure. Heap, Binary Tree, Red Black Tree, Linked List, Deque, Trie, HashMap, Directed Graph, Undirected Graph, Binary ...
Abstract: Graph Neural Networks (GNNs) are widely used across fields, with inductive learning replacing transductive learning as the mainstream training paradigm due to its superior memory efficiency, ...
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