Unverified50% confidenceFactExact time
The message-passing mechanism originates from the graph neural network (GNN) field and refers to an iterative mechanism in which nodes encode information, pass it to neighboring nodes, and then aggregate and update.
1
Sources
50%
Confidence
Long-term
Relevance
10/7/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMajor platforms deploy automated anti-fake-review systems based on graph neural networks (GNNs) to identify patterns such as anomalous account social relationships, IP clustering, and sudden changes in review time sequences.74% similarUnverifiedGraph Neural Networks (GNNs) can construct claimants, vehicles, repair shops, medical institutions, and lawyers into a relational network graph, and discover hidden fraudulent group structures by analyzing connection patterns.70% similarUnverifiedGIN uses GPU-initiated network puts for inter-node communication and local symmetric access for intra-node transfers.65% similarUnverifiedConvolutional Neural Networks (CNNs) have built-in inductive biases of local connectivity and weight sharing, assuming that spatial features possess locality and translation invariance.64% similarUnverifiedU-Net's network structure consists of an encoder (downsampling path) and a decoder (upsampling path), with fine-grained features transmitted between them via skip connections.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/983286API
curl https://kongchang.com/api/v1/knowledge/claims/983286MCP
get_claim(id=983286)