Goce Trajcevski
19 papers · 2017–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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(5)
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Machine Learning
(17)
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(7)
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Learning Types Β· Machine Learning
(7)
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(5)
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(4)
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(4)
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(3)
Keywords
graph neural network
(4)
time series forecasting
(2)
semi-supervised learning
(2)
denoising diffusion probabilistic model
(2)
land deformation
(2)
speech enhancement
(2)
generative model
(2)
neural ordinary differential equation
(2)
spatial correlation
(2)
urban flow inference
(2)
manifold learning
(2)
information cascade
(2)
probabilistic modeling
(2)
diffusion model
(2)
variational autoencoder
(2)
trajectory modeling
(1)
conditional generation
(1)
variational inference
(1)
incremental learning
(1)
attention mechanism
(1)
Papers
Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
ICML 2025
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
AAAI 2025
Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
IJCAI 2024
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract)
AAAI 2024
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract)
AAAI 2023
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
NeurIPS 2023
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract)
AAAI 2023
Open Anomalous Trajectory Recognition via Probabilistic Metric Learning
IJCAI 2023
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement
AAAI 2023
A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
AAAI 2022
Dynamic Manifold Learning for Land Deformation Forecasting
AAAI 2022
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
NeurIPS 2022
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract)
AAAI 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
AAAI 2022
Land Deformation Prediction via Slope-Aware Graph Neural Networks
AAAI 2021
Enhancing Urban Flow Maps via Neural ODEs
IJCAI 2020
Interpreting Twitter User Geolocation
ACL 2020
Trajectory-User Linking via Variational AutoEncoder
IJCAI 2018
Identifying Human Mobility via Trajectory Embeddings
IJCAI 2017