Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s ...
Abstract: Graph representation learning is a fundamental research theme and can be generalized to benefit multiple downstream tasks from the node and link levels to the higher graph level. In practice ...
Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was concluded with resounding success, uniting participants from various ...
FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection
Abstract: With increasing cyber attacks over the Internet, network intrusion detection systems (NIDS) have been an indispensable barrier to protecting network security. Taking advantage of ...
python test.py --test_graph_path test_data/Wiki-2.txt \ --teacher\ --model q_net.pth \ --k 10 --selection_strategy o test_graphs: there are 8 test graphs, the YouTube graph file is too large to upload ...
The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...
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