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Found 7 papers, 2 papers with code
Causal-Aware Graph Neural Architecture Search under Distribution Shifts
We propose to handle the distribution shifts in the graph architecture search process by discovering and exploiting the causal relationship between graphs and architectures to search for the optimal architectures that can generalize under distribution shifts.
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
In the field of Artificial Intelligence for Information Technology Operations, causal discovery is pivotal for operation and maintenance of graph construction, facilitating downstream industrial tasks such as root cause analysis.
The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022
In the pre-training stage we reserve the speaker weights, and there are no positive samples to train them in this stage.
Intelligent wayfinding vehicle design based on visual recognition
In this project, an intelligent drug delivery car is designed and manufactured, which can recognize the road route and the room number of the target ward through visual recognition technology.
Zero-shot Node Classification with Decomposed Graph Prototype Network
Node classification is a central task in graph data analysis.
Magnetic field and gravitational waves from the first-order Phase Transition
We perform the three dimensional lattice simulation of the magnetic field and gravitational wave productions from bubble collisions during the first-order electroweak phase transition.
Cosmology and Nongalactic Astrophysics High Energy Physics - Lattice High Energy Physics - Phenomenology
PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features
This paper presents PL-VINS, a real-time optimization-based monocular VINS method with point and line features, developed based on the state-of-the-art point-based VINS-Mono \cite{vins}.
