firstbacksecondback
181 Results
|
Poster
|
Learnable Graph Convolutional Attention Networks Adrián Javaloy · Pablo Sanchez Martin · Amit Levi · Isabel Valera |
||
|
Poster
|
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks Xiaoqi Wang · Han Wei Shen |
||
|
Poster
|
A2Q: Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu · Fanrong Li · Zitao Mo · Qinghao Hu · Gang Li · Zejian Liu · Xiaoyao Liang · Jian Cheng |
||
|
Poster
|
Wed 2:30 |
Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um · Jiwoong Park · Seulki Park · Jin Choi |
|
|
Poster
|
Tue 2:30 |
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov · Denis Kuznedelev · Michael Diskin · Artem Babenko · Liudmila Prokhorenkova |
|
|
Poster
|
Mon 2:30 |
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks Wenqian Li · Yinchuan Li · Zhigang Li · Jianye HAO · Yan Pang |
|
|
Poster
|
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong · Weidong Cao · Muhan Zhang · Dacheng Tao · Yixin Chen · Xuan Zhang |
||
|
Poster
|
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency Yijun Tian · Chuxu Zhang · Zhichun Guo · Xiangliang Zhang · Nitesh Chawla |
||
|
Poster
|
Logical Message Passing Networks with One-hop Inference on Atomic Formulas Zihao Wang · Yangqiu Song · Ginny Wong · Simon See |
||
|
Poster
|
O-GNN: incorporating ring priors into molecular modeling Jinhua Zhu · Kehan Wu · Bohan Wang · Yingce Xia · Shufang Xie · Qi Meng · Lijun Wu · Tao Qin · Wengang Zhou · Houqiang Li · Tie-Yan Liu |
||
|
Workshop
|
Discovering Graph Generation Algorithms Mihai Babiac · Karolis Martinkus · Roger Wattenhofer |
||
|
Poster
|
Tue 2:30 |
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Alessio Gravina · Davide Bacciu · Claudio Gallicchio |