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Graph Neural Networks

19 directly classified papers

Papers per year

Papers

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning AAAI 2025
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration AAAI 2025
Dynamic Graph Learning with Static Relations for Credit Risk Assessment AAAI 2025
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification AAAI 2025
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation AAAI 2025
Taming the Long Tail in Human Mobility Prediction NIPS 2024
Kumaraswamy Wavelet for Heterophilic Scene Graph Generation AAAI 2024
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis AAAI 2024
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting AAAI 2024
Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery NIPS 2023
Learning Influence Adoption in Heterogeneous Networks AAAI 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs NIPS 2022
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction AAAI 2020
NeVAE: A Deep Generative Model for Molecular Graphs AAAI 2019
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NIPS 2013