3results about How to "Optimize Time Complexity" patented technology

The application provides a dynamic increment-based graph information gate aggregation knowledge graph recommendation method, solves the data instability caused by random sampling and the noise fusion problem caused by double diffusion in the knowledge graph convolution recommendation method. The method comprises: dynamically selecting Top-K adjacent edges and adjacent point fusion for the current node in the knowledge graph (K is a positive integer of 10-20) in sequence. On the one hand, the matching score value of the current node, user embedding, adjacent edge and adjacent point is calculated by using the attention mechanism, the high correlation of the adjacent edge, adjacent point graph information and the candidate node of the next step is selected by using the score value, on the other hand, the selected graph information is adaptively adjusted and fused by using the gate mechanism, the adjacent information is accurately integrated into the current node embedding, and then the candidate node is diffused in sequence. Finally, through the operation of the adjacent fusion, the current node information and the adjacent graph information can be directly fused once, so that the noise information in the double diffusion and multiple fusion graphs is prevented.

The present application belongs to the technical field of power transmission line engineering cableway design and construction, and particularly relates to a power transmission line cableway stockyard point mode recognition method and system based on slope compensation and road width dynamic correction, a storage medium and a computing device. The method comprises the following steps: S1, road feature extraction: including extracting road center line feature data, road final width feature data, and road unit direction feature data; S2, road feature enhancement processing; S3, calculating road curvature; S4, mode recognition classification: using a feature space dynamic weighting segmentation algorithm, through an iterative optimization process in a dynamic weighting road feature space, dynamically adjusting road feature weights, scaling the original road feature space, so that the left and right boundary points in the transformed space can be effectively separated by a hyperplane, realizing accurate two-classification of the stockyard points; S5, space topology consistency enhancement. The method can solve the problem of road width measurement distortion caused by steep slope terrain.

The application discloses a method for processing IPv4 network source routing attack behavior based on GENEVE, comprising the following steps: acquiring real-time network state information, calculating the maximum receiving distance threshold of the link node according to the network state information; setting the neighbor node parameter according to the maximum receiving distance threshold, preventing the attack node from establishing malicious false neighbors, and acquiring abnormal monitoring data; constructing a routing space monitoring model for the abnormal monitoring data, generating a jump space of routing jump through a backtracking method, and limiting the corresponding communication link capacity through the non-overlapping of the jump space and the communication delay; acquiring a path state matrix according to the communication link capacity, adjusting the weight coefficient according to the current network security state through the path state matrix, generating a network security state flow table, responding to the real-time routing jump defense strategy, and performing a deceptive response to the malicious probe packet, so that the attacker cannot obtain the real network topology information, and better defense effect is achieved.