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Workshop
GraphRAG: Reasoning on Graphs with Retrieval-Augmented LLMs
Zhen Han · Anand Muralidhar · Aditya Degala
Poster
Wed 15:00 Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
Fiona Lippert · Bart Kranstauber · Emiel van Loon · Patrick Forré
Poster
Thu 8:45 Graph-Structured Gaussian Processes for Transferable Graph Learning
Jun Wu · Lisa Ainsworth · Andrew Leakey · Haixun Wang · Jingrui He
Poster
Tue 8:45 Language Semantic Graph Guided Data-Efficient Learning
Wenxuan Ma · Shuang Li · lincan Cai · Jingxuan Kang
Workshop
Can LLMs Effectively Leverage Graph Structural Information: When and Why
Jin Huang · Xingjian Zhang · Qiaozhu Mei · Jiaqi Ma
Workshop
Graph Pooling Provably Improves Expressivity
Veronica Lachi · Alice Moallemy-Oureh · Andreas Roth · Pascal Welke
Poster
Tue 15:15 Outlier-Robust Gromov-Wasserstein for Graph Data
Lemin Kong · Jiajin Li · Jianheng Tang · Anthony Man-Cho So
Workshop
EDGE++: Improved Training and Sampling of EDGE
Xiaohui Chen · Mingyang Wu · Liping Liu
Workshop
EDGE++: Improved Training and Sampling of EDGE
Xiaohui Chen · Mingyang Wu · Liping Liu
Workshop
Exploring and Improving the Spatial Reasoning Abilities of Large Language Models
Manasi Sharma
Workshop
A Divide-Conquer-Reasoning Approach to Consistency Evaluation and Improvement in Blackbox Large Language Models
Wendi Cui · Jiaxin Zhang · Zhuohang Li · Damien Lopez · Kamalika Das · Bradley Malin · Sricharan Kumar
Workshop
scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data
Rui Yang · Wenrui Dai · Chenglin Li · Junni Zou · Dapeng Wu · Hongkai Xiong