Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

30 Results

<<   <   Page 2 of 3   >   >>
Poster
Tue 8:45 Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
Saptarshi Roy · Raymond K. W. Wong · Yang Ni
Poster
Tue 8:45 Lovász Principle for Unsupervised Graph Representation Learning
Ziheng Sun · Chris Ding · Jicong Fan
Workshop
SATG : Structure Aware Transformers on Graphs for Node Classification
Sumedh B G · Sanjay Patnala · Himil Vasava · Akshay Sethi · Sonia Gupta
Poster
Thu 8:45 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
Yongduo Sui · Qitian Wu · Jiancan Wu · Qing Cui · Longfei Li · Jun Zhou · Xiang Wang · Xiangnan He
Poster
Thu 15:00 [Re] GG-Mixup: Graph Data Augmentation for Graph Classification
Ermin Omeragic · Vuk Đuranović
Poster
Thu 8:45 Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
Zihan Luo · Hong Huang · Jianxun Lian · Xiran Song · Xing Xie · Hai Jin
Workshop
Elucidating the Relationship Between Climate Change and Poverty using Graph Neural Networks, Ensemble Models, and Remote Sensing Data
Parinthapat Pengpun · Alessandro Salatiello
Poster
Tue 15:15 MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
Tianyu Liu · Yuge Wang · Rex Ying · Hongyu Zhao
Poster
Wed 15:00 Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Xin Zheng · Miao Zhang · Chunyang Chen · Quoc Viet Hung Nguyen · Xingquan Zhu · Shirui Pan
Workshop
Enhancing Data-Assimilation in CFD using Graph Neural Networks
Michele Quattromini · Michele Alessandro Bucci · Stefania Cherubini · Onofrio Semeraro
Poster
Thu 8:45 Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan · Pasquale Minervini · Daniel Daza · Michael Cochez · Isabelle Augenstein
Workshop
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data
Yuntong Hu · Zheng Zhang · Liang Zhao