ICML 2026 · Seoul, South Korea
Poster Presentation: Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
Poster Session 6, Thursday, July 9, 2026, 10:30 AM-12:15 PM KST, HALL A · Poster #2403.
Talks & Presentations
AAAI 2026
Poster Presentation: Adaptive Riemannian Graph Neural Networks
Adaptive Riemannian metric tensor fields for graph neural networks.
ACM e-Energy 2026 · Banff, Canada
Conference Presentation: Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
Presented during ACM e-Energy 2026. Due to visa constraints, the talk was delivered by Prof. S. Keshav.
PAKDD 2026 · Hong Kong, China
Tutorial: Foundations and Recent Advances of Graph Learning: A Perspective from Distances and Representations
Co-presented Tutorial 3 with Jicong Fan, Qi Feng, and Chris Ding, 09:00-12:30, June 9, 2026.
PAKDD 2026 · Hong Kong, China
Session Chair: Distribution Shift and Evaluation
Session 2D, June 10, 2026, 2:00pm-3:00pm, Room 4 (Tai Po III/IV Room, 2/F).
IJCAI 2025
Conference Presentation: Explainable Graph Representation Learning via Graph Pattern Analysis
ACM e-Energy 2022