Skip to yearly menu bar Skip to main content


Search All 2023 Events
 

268 Results

<<   <   Page 22 of 23   >   >>
Workshop
Towards a more inductive world for drug repurposing approaches
Jesus de la Fuente Cedeño · Guillermo Serrano · Uxia Veleiro · Mikel Casals · Laura Vera · Marija Pizurica · Antonio Pineda-Lucena · Idoia Ochoa · Silve Vicent · Olivier Gevaert · Mikel Hernaez
Poster
Wed 8:45 Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
Yifei Zhang · Hao Zhu · yankai Chen · Zixing Song · Piotr Koniusz · Irwin King
Workshop
Long-Range Neural Atom Learning for Molecular Graphs
Xuan Li · Zhanke Zhou · Jiangchao Yao · Yu Rong · Lu Zhang · Bo Han
Poster
Thu 15:00 GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang · Fengrui Hua · Ziqi Gao · Peilin Zhao · Jia Li
Poster
Tue 15:15 MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
Honghua Dong · Jiawei Xu · Yu Yang · Rui Zhao · Shiwen Wu · Chun Yuan · Xiu Li · Chris Maddison · Lei Han
Poster
Thu 8:45 Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Jinwoo Kim · Dat Nguyen · Ayhan Suleymanzade · Hyeokjun An · Seunghoon Hong
Poster
Thu 15:00 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression
Jiaming Guo · Rui Zhang · Shaohui Peng · Qi Yi · Xing Hu · Ruizhi Chen · Zidong Du · xishan zhang · Ling Li · Qi Guo · Yunji Chen
Poster
Tue 15:15 Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals
Tingting Dan · Jiaqi Ding · Ziquan Wei · Shahar Kovalsky · Minjeong Kim · Won Hwa Kim · Guorong Wu
Poster
Wed 15:00 GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao · Shengchao Liu · Ma Chang · Hannan Xu · Jie Fu · Zhihong Deng · Lingpeng Kong · Qi Liu
Poster
Wed 8:45 Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Yongqiang Chen · Yatao Bian · Kaiwen Zhou · Binghui Xie · Bo Han · James Cheng
Workshop
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers
Byung-Hoon Kim · Jungwon Choi · EungGu Yun · Kyungsang Kim · Xiang Li · Juho Lee
Workshop
Coarse graining systems on inhomogeneous graphs using contrastive learning
Doruk Efe Gökmen · Maciej Koch-Janusz · Zohar Ringel · Sebastian Huber · Felix Flicker · Sounak Biswas