Table of Contents

• Revisiting Graph Homophily MeasuresMikhail Mironov, Liudmila Prokhorenkova. 1 [doi]
• UnRavL: A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge GraphsTamara Cucumides, Daniel Daza, Pablo Barceló, Michael Cochez, Floris Geerts, Juan L. Reutter, Miguel Romero 0001. 2 [doi]
• Towards a General Recipe for Combinatorial Optimization With Multi-Filter GNNsFrederik Wenkel, Semih Cantürk, Stefan Horoi, Michael Perlmutter, Guy Wolf. 3 [doi]
• Decomposing Force Fields as Flows on Graphs Reconstructed From Stochastic TrajectoriesRamón Dineth Nartallo-Kaluarachchi, Paul Expert, David Beers, Alexander Strang, Morten L. Kringelbach, Renaud Lambiotte, Alain Goriely. 4 [doi]
• What Do GNNs Actually Learn? Towards Understanding Their RepresentationsGiannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis. 5 [doi]
• Ising on the Graph: Task-Specific Graph Subsampling via the Ising ModelMaria Bånkestad, Jennifer R. Andersson, Sebastian Mair 0001, Jens Sjölund. 6 [doi]
• Reinforcement Learning Discovers Efficient Decentralized Graph Path Search StrategiesAlexei Pisacane, Victor-Alexandru Darvariu, Mirco Musolesi. 7 [doi]
• Cayley Graph PropagationJJ Wilson, Maya Bechler-Speicher, Petar Velickovic. 8 [doi]
• A Spectral Framework for Tracking Communities in Evolving NetworksJacob Hume, Laura Balzano. 9 [doi]
• Simple GNNs With Low Rank Non-Parametric AggregatorsLuciano Vinas, Arash A. Amini. 10 [doi]
• Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs Without Message PassingMatthias Kohn, Marcel Hoffmann 0002, Ansgar Scherp. 11 [doi]
• TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge GraphsYucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin 0001, Bruno Ribeiro 0001. 12 [doi]
• Asymptotic Generalization Error of a Single-Layer Graph Convolutional NetworkO. Duranthon, Lenka Zdeborová. 13 [doi]
• Preventing Representational Rank Collapse in MPNNs by Splitting the Computational GraphAndreas Roth, Franka Bause, Nils Morten Kriege, Thomas Liebig. 14 [doi]
• Effectiveness of SDP Rounding Using Hopfield NetworksÉanna Curran, Saurabh Ray, Deepak Ajwani. 15 [doi]
• xAI-Drop: Don't Use What You Cannot ExplainVincenzo Marco De Luca, Antonio Longa, Pietro Lio, Andrea Passerini. 16 [doi]
• Understanding Feature/Structure Interplay in Graph Neural NetworksDiana Gomes, Ann Nowé, Peter Vrancx. 17 [doi]
• Knowledge Graph Preference Contrastive Learning for RecommendationJunze Zhu, ZhongYi Hu, Fan Zhang. 18 [doi]
• DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUsJiahui Liu, Zhenkun Cai, Zhiyong Chen, Minjie Wang. 19 [doi]
• GraTeD-MLP: Efficient Node Classification via Graph Transformer Distillation to MLPSarthak Malik, Aditi Rai, Ram Ganesh V, Himank Sehgal, Akshay Sethi, Aakarsh Malhotra. 20 [doi]
• Optimal Performance of Graph Convolutional Networks on the Contextual Stochastic Block ModelGuillaume Dalle, Patrick Thiran. 21 [doi]
• Leveraging Temporal Graph Networks Using Module DecouplingOr Feldman, Chaim Baskin. 22 [doi]
• Do We Really Need Complicated Graph Learning Models? - A Simple but Effective BaselineKaan Sancak, Muhammed Fatih Balin, Ümit V. Çatalyürek. 23 [doi]
• A Pure Transformer Pretraining Framework on Text-Attributed GraphsYu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin 0009, Carl Yang 0001, Jiliang Tang, Hui Liu 0031. 24 [doi]
• Hyperbolic Kernel Convolution: A Generic FrameworkEric Qu, Lige Zhang, Habib Debaya, Yue Wu, Dongmian Zou. 25 [doi]
• Faster Optimization on Sparse Graphs via Neural ReparametrizationCsaba Both, Nima Dehmamy, Jianzhi Long, Rose Yu. 26 [doi]
• NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid ForecastingChunshu Wu, Ruibing Song, Chuan Liu 0001, Yuqing Wang, Yousu Chen, Ang Li 0006, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng. 27 [doi]
• UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal GraphsShenyang Huang, Farimah Poursafaei, Reihaneh Rabbany, Guillaume Rabusseau, Emanuele Rossi. 28 [doi]
• Flexible Diffusion Scopes With Parameterized Laplacian for Heterophilic Graph LearningQincheng Lu, Jiaqi Zhu, Sitao Luan, Xiao-Wen Chang. 29 [doi]
• Oversquashing in Hypergraph Neural NetworksNaganand Yadati. 30 [doi]
• Smoothed Graph Contrastive Learning via Seamless Proximity IntegrationMaysam Behmanesh, Maks Ovsjanikov. 31 [doi]
• Stochastic Experience-Replay for Graph Continual LearningArnab Kumar Mondal, Jay Nandy, Manohar Kaul, Mahesh Chandran. 32 [doi]
• Enhancing Topological Dependencies in Spatio-Temporal Graphs With Cycle Message Passing BlocksMinho Lee, Yun Young Choi, Sun-Woo Park, Seunghwan Lee, Joohwan Ko, Jaeyoung Hong. 33 [doi]
• Matrix Completion With Hypergraphs: Sharp Thresholds and Efficient AlgorithmsZhongtian Ma, Qiaosheng Zhang, Zhen Wang. 34 [doi]
• Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?Qian Ma 0012, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma 0001. 35 [doi]
• Sub-Graph Based Diffusion Model for Link PredictionHang Li 0007, Wei Jin 0009, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang. 36 [doi]
• Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNsMustafa Munir, Alex Zhang, Radu Marculescu. 37 [doi]
• CrysAtom: Distributed Representation of Atoms for Crystal Property PredictionShrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri. 38 [doi]
• Scalable and Efficient Temporal Graph Representation Learning via Forward Recent SamplingYuhong Luo, Pan Li 0005. 39 [doi]
• T-Gae: Transferable Graph Autoencoder for Network AlignmentJiashu He, Charilaos I. Kanatsoulis, Alejandro Ribeiro. 40 [doi]
• Motif-Aware Attribute Masking for Molecular Graph Pre-TrainingEric Inae, Gang Liu 0025, Meng Jiang 0001. 41 [doi]
• On the Expressivity of Persistent Homology in Graph LearningRubén Ballester, Bastian Rieck. 42 [doi]
• Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion ModelsKay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang 0003, Philip S. Yu. 43 [doi]
• Towards Neural Scaling Laws on GraphsJingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao 0003, Neil Shah, Jiliang Tang. 44 [doi]
• CliquePH: Higher-Order Information for Graph Neural Networks Through Persistent Homology on Clique GraphsDavide Buffelli, Farzin Soleymani, Bastian Rieck. 45 [doi]
• Lifted Model Construction Without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor GraphsMalte Luttermann, Ralf Möller 0001, Marcel Gehrke. 46 [doi]
• Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade and Value NetworksJulia Gastinger, Timo Sztyler, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin 0001, Anett Schuelke, Heiner Stuckenschmidt. 47 [doi]