






















[edit]
[edit]
Editors: Soledad Villar, Benjamin Chamberlain
The Second Learning on Graphs Conference: Preface
Soledad Villar, Benjamin Chamberlain, Yuanqi Du, Hannes St"ark, Chaitanya K. Joshi, Andreea Deac, Iulia Duta, Joshua Robinson, Yanqiao Zhu, Kexin Huang, Michelle Li, Sofia Bourhim, Ilia Igashov, Alexandre Duval, Mathieu Alain, Dominique Beaini, Xinyu Yuan; Proceedings of the Second Learning on Graphs Conference, PMLR 231:i-xix
[abs][Download PDF]
Representing Edge Flows on Graphs via Sparse Cell Complexes
; Proceedings of the Second Learning on Graphs Conference, PMLR 231:1:1-1:22
Meta-Path Learning for Multi-Relational Graph Neural Networks
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger; Proceedings of the Second Learning on Graphs Conference, PMLR 231:2:1-2:17
Asynchronous Algorithmic Alignment With Cocycles
Andrew Joseph Dudzik, Tamara von Glehn, Razvan Pascanu, Petar Veličković; Proceedings of the Second Learning on Graphs Conference, PMLR 231:3:1-3:17
Cycle Invariant Positional Encoding for Graph Representation Learning
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang; Proceedings of the Second Learning on Graphs Conference, PMLR 231:4:1-4:21
Recursive Algorithmic Reasoning
Jonas Jürß, Dulhan Hansaja Jayalath, Petar Veličković; Proceedings of the Second Learning on Graphs Conference, PMLR 231:5:1-5:14
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Donald Loveland, Jiong Zhu, Mark Heimann, Benjamin Fish, Michael T Schaub, Danai Koutra; Proceedings of the Second Learning on Graphs Conference, PMLR 231:6:1-6:30
Spectral Subgraph Localization
Ama Bembua Bainson, Judith Hermanns, Petros Petsinis, Niklas Aavad, Casper Dam Larsen, Tiarnan Swayne, Amit Boyarski, Davide Mottin, Alex M. Bronstein, Panagiotis Karras; Proceedings of the Second Learning on Graphs Conference, PMLR 231:7:1-7:11
GSCAN: Graph Stability Clustering for Applications With Noise Using Edge-Aware Excess-of-Mass
Etzion Harari, Naphtali Abudarham, Roee Litman; Proceedings of the Second Learning on Graphs Conference, PMLR 231:9:1-9:15
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
Latent Space Representations of Neural Algorithmic Reasoners
Vladimir V Mirjanic, Razvan Pascanu, Petar Veličković; Proceedings of the Second Learning on Graphs Conference, PMLR 231:10:1-10:24
Multicoated and Folded Graph Neural Networks With Strong Lottery Tickets
Jiale Yan, Hiroaki Ito, Ángel López García-Arias, Yasuyuki Okoshi, Hikari Otsuka, Kazushi Kawamura, Thiem Van Chu, Masato Motomura; Proceedings of the Second Learning on Graphs Conference, PMLR 231:11:1-11:18
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert; Proceedings of the Second Learning on Graphs Conference, PMLR 231:12:1-12:27
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics
Stefan Künzli, Florian Grötschla, Joël Mathys, Roger Wattenhofer; Proceedings of the Second Learning on Graphs Conference, PMLR 231:13:1-13:23
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks
Jing Gu, Dongmian Zou; Proceedings of the Second Learning on Graphs Conference, PMLR 231:14:1-14:29
HOT: Higher-Order Dynamic Graph Representation Learning With Efficient Transformers
Maciej Besta, Afonso Claudino Catarino, Lukas Gianinazzi, Nils Blach, Piotr Nyczyk, Hubert Niewiadomski, Torsten Hoefler; Proceedings of the Second Learning on Graphs Conference, PMLR 231:15:1-15:20
Generalized Reasoning With Graph Neural Networks by Relational Bayesian Network Encodings
Raffaele Pojer, Andrea Passerini, Manfred Jaeger; Proceedings of the Second Learning on Graphs Conference, PMLR 231:16:1-16:12
Non-Isotropic Persistent Homology: Leveraging the Metric Dependency of PH
Vincent Peter Grande, Michael T Schaub; Proceedings of the Second Learning on Graphs Conference, PMLR 231:17:1-17:19
Transferable Hypergraph Neural Networks via Spectral Similarity
Mikhail Hayhoe, Hans Matthew Riess, Michael M. Zavlanos, VICTOR PRECIADO, Alejandro Ribeiro; Proceedings of the Second Learning on Graphs Conference, PMLR 231:18:1-18:23
Mitigating Over-Smoothing and Over-Squashing Using Augmentations of Forman-Ricci Curvature
Lukas Fesser, Melanie Weber; Proceedings of the Second Learning on Graphs Conference, PMLR 231:19:1-19:28
Interaction Models and Generalized Score Matching for Compositional Data
Shiqing Yu, Mathias Drton, Ali Shojaie; Proceedings of the Second Learning on Graphs Conference, PMLR 231:20:1-20:25
Will More Expressive Graph Neural Networks Do Better on Generative Tasks?
Xiandong Zou, Xiangyu Zhao, Pietro Lio, Yiren Zhao; Proceedings of the Second Learning on Graphs Conference, PMLR 231:21:1-21:26
Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations
Dhananjay Bhaskar, Daniel Sumner Magruder, Matheo Morales, Edward De Brouwer, Aarthi Venkat, Frederik Wenkel, James Noonan, Guy Wolf, Natalia Ivanova, Smita Krishnaswamy; Proceedings of the Second Learning on Graphs Conference, PMLR 231:22:1-22:21
Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity
Shubhankar Prashant Patankar, Mathieu Ouellet, Juan Cervino, Alejandro Ribeiro, Kieran A. Murphy, Danielle Bassett; Proceedings of the Second Learning on Graphs Conference, PMLR 231:23:1-23:15
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
EMP: Effective Multidimensional Persistence for Graph Representation Learning
Yuzhou Chen, Ignacio Segovia-Dominguez, Cuneyt Gurcan Akcora, Zhiwei Zhen, Murat Kantarcioglu, Yulia Gel, Baris Coskunuzer; Proceedings of the Second Learning on Graphs Conference, PMLR 231:24:1-24:12
Edge Directionality Improves Learning on Heterophilic Graphs
Emanuele Rossi, Bertrand Charpentier, Francesco Di Giovanni, Fabrizio Frasca, Stephan Günnemann, Michael M. Bronstein; Proceedings of the Second Learning on Graphs Conference, PMLR 231:25:1-25:27
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
A Simple Latent Variable Model for Graph Learning and Inference
Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini; Proceedings of the Second Learning on Graphs Conference, PMLR 231:26:1-26:18
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
KGEx: Explaining Knowledge Graph Embeddings via Subgraph Sampling and Knowledge Distillation
Vasileios Baltatzis, Luca Costabello; Proceedings of the Second Learning on Graphs Conference, PMLR 231:27:1-27:13
Neural Algorithmic Reasoning for Combinatorial Optimisation
Dobrik Georgiev Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Lio; Proceedings of the Second Learning on Graphs Conference, PMLR 231:28:1-28:15
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
A Latent Diffusion Model for Protein Structure Generation
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael Curtis McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji; Proceedings of the Second Learning on Graphs Conference, PMLR 231:29:1-29:17
United We Stand, Divided We Fall: Networks to Graph (N2G) Abstraction for Robust Graph Classification Under Graph Label Corruption
Zhiwei Zhen, Yuzhou Chen, Murat Kantarcioglu, Kangkook Jee, Yulia Gel; Proceedings of the Second Learning on Graphs Conference, PMLR 231:30:1-30:19
Parallel Algorithms Align With Neural Execution
Valerie Engelmayer, Dobrik Georgiev Georgiev, Petar Veličković; Proceedings of the Second Learning on Graphs Conference, PMLR 231:31:1-31:13
Generative Modeling of Labeled Graphs Under Data Scarcity
Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur; Proceedings of the Second Learning on Graphs Conference, PMLR 231:32:1-32:18
MUDiff: Unified Diffusion for Complete Molecule Generation
Chenqing Hua, Sitao Luan, Minkai Xu, Zhitao Ying, Jie Fu, Stefano Ermon, Doina Precup; Proceedings of the Second Learning on Graphs Conference, PMLR 231:33:1-33:26
[abs][Download PDF][OpenReview][Software][Supplementary ZIP]
HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers
Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha Talukdar; Proceedings of the Second Learning on Graphs Conference, PMLR 231:34:1-34:25
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
Andreas Roth, Thomas Liebig; Proceedings of the Second Learning on Graphs Conference, PMLR 231:35:1-35:23
Semi-Supervised Learning for High-Fidelity Fluid Flow Reconstruction
Cong Fu, Jacob Helwig, Shuiwang Ji; Proceedings of the Second Learning on Graphs Conference, PMLR 231:36:1-36:19
BeMap: Balanced Message Passing for Fair Graph Neural Network
Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong; Proceedings of the Second Learning on Graphs Conference, PMLR 231:37:1-37:25
Rethinking Higher-Order Representation Learning With Graph Neural Networks
Tuo Xu, Lei Zou; Proceedings of the Second Learning on Graphs Conference, PMLR 231:38:1-38:25
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。