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OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou · Gitta Kutyniok · Bruno Ribeiro
Wed 14:00 ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen · Pushkar Mishra · Luca Franceschi · Pasquale Minervini · Pontus Lars Erik Saito Stenetorp · Sebastian Riedel
Wed 9:00 ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
Limei Wang · Yi Liu · Yuchao Lin · Haoran Liu · Shuiwang Ji
Wed 9:00 Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
Yuelin Wang · Kai Yi · Xinliang Liu · Yuguang Wang · Shi Jin
Wed 14:00 Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Paavo Parmas · Takuma Seno
Thu 9:00 How Powerful are K-hop Message Passing Graph Neural Networks
Jiarui Feng · Yixin Chen · Fuhai Li · Anindya Sarkar · Muhan Zhang
Thu 14:00 Graph Neural Networks are Dynamic Programmers
Andrew J Dudzik · Petar Veličković
Thu 14:00 The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Jean Barbier · TianQi Hou · Marco Mondelli · Manuel Saenz
Tue 14:00 Multi-layer State Evolution Under Random Convolutional Design
Max Daniels · Cedric Gerbelot · Florent Krzakala · Lenka Zdeborová
Tue 9:00 Redundancy-Free Message Passing for Graph Neural Networks
Rongqin Chen · Shenghui Zhang · Leong Hou U · Ye Li
Wed 14:00 Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey · Ron Levie · Yunseok Lee · Gitta Kutyniok