Poster "graph neural networks" Papers
134 papers found • Page 1 of 3
ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics
Junchao Zhu, Ruining Deng, Tianyuan Yao et al.
A Signed Graph Approach to Understanding and Mitigating Oversmoothing
Jiaqi Wang, Xinyi Wu, James Cheng et al.
AtomSurf: Surface Representation for Learning on Protein Structures
Vincent Mallet, Yangyang Miao, Souhaib Attaiki et al.
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool
Jiangtong Li, Dongyi Liu, Kun Zhu et al.
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
Jiaxing Xu, Yongqiang Chen, Xia Dong et al.
DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
Yupu Zhang, Zelin Xu, Tingsong Xiao et al.
DGCBench: A Deep Graph Clustering Benchmark
Benyu Wu, Yue Liu, Qiaoyu Tan et al.
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin, Dai Shi, Andi Han et al.
Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
Tingting Dan, Xinwei Huang, Won Hwa Kim et al.
FastJAM: a Fast Joint Alignment Model for Images
Omri Hirsch, Ron Shapira Weber, Shira Ifergane et al.
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
Jie Yang, Yuwen Wang, Kaixuan Chen et al.
Generative Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma et al.
Geometry-Aware Edge Pooling for Graph Neural Networks
Katharina Limbeck, Lydia Mezrag, Guy Wolf et al.
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
Ziwei Yang, Zheng Chen, XIN LIU et al.
GLNCD: Graph-Level Novel Category Discovery
Bowen Deng, Lele Fu, Sheng Huang et al.
GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
Dongzhuoran Zhou, Evgeny Kharlamov, Egor Kostylev
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
Minghao Xu, Yunteng Geng, Yihang Zhang et al.
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong, Jiarui Feng, Hao Liu et al.
Graph-Based Attention for Differentiable MaxSAT Solving
Sota Moriyama, Katsumi Inoue
GraphBridge: Towards Arbitrary Transfer Learning in GNNs
Li Ju, Xingyi Yang, Qi Li et al.
Graph Data Selection for Domain Adaptation: A Model-Free Approach
Ting-Wei Li, Ruizhong Qiu, Hanghang Tong
Graph Neural Networks Can (Often) Count Substructures
Paolo Pellizzoni, Till Schulz, Karsten Borgwardt
Graph Neural Networks Gone Hogwild
Olga Solodova, Nick Richardson, Deniz Oktay et al.
Graphs Help Graphs: Multi-Agent Graph Socialized Learning
Jialu Li, Yu Wang, Pengfei Zhu et al.
Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
Tongzhou Liao, Barnabás Póczos
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
Jingchu Gai, Yiheng Du, Bohang Zhang et al.
Improving Graph Neural Networks by Learning Continuous Edge Directions
Seong Ho Pahng, Sahand Hormoz
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhägner, Cheng Shi, Ivan Dokmanić
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
Wenxuan Bao, Zhichen Zeng, Zhining Liu et al.
ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
Jiale Ma, Wenzheng Pan, Yang Li et al.
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
Yuankai Luo, Hongkang Li, Qijiong Liu et al.
Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning
Yang Li, Aming WU, Zihao Zhang et al.
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
Yongqi Huang, Jitao Zhao, Dongxiao He et al.
On Logic-based Self-Explainable Graph Neural Networks
Alessio Ragno, Marc Plantevit, Céline Robardet
On the Hölder Stability of Multiset and Graph Neural Networks
Yair Davidson, Nadav Dym
PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
Ana Rivera Him, Anvita Bhagavathula, Alvaro Carbonero et al.
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
Dazhou Yu, Genpei Zhang, Liang Zhao
Practical Bayes-Optimal Membership Inference Attacks
Marcus Lassila, Johan Oestman, Khac-Hoang Ngo et al.
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan et al.
RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
Dongwon Choi, Sunwoo Kim, Juyeon Kim et al.
REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring
Taewon Kim, Hyunjin Seo, Sungsoo Ahn et al.
Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks
Jiawei Gu, Ziyue Qiao, Zechao Li
Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features
Feng Ji, Yanan Zhao, KAI ZHAO et al.
Rethinking Graph Prompts: Unraveling the Power of Data Manipulation in Graph Neural Networks
Chenyi Zi, Bowen LIU, Xiangguo SUN et al.
Rethinking the role of frames for SE(3)-invariant crystal structure modeling
Yusei Ito, Tatsunori Taniai, Ryo Igarashi et al.
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade et al.
RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
Xi Xie, Yuebo Luo, Hongwu Peng et al.
SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction
Yixiao Zhou, Xiaoqing Lyu, Hongxiang Lin et al.
SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs
Mingquan Feng, Yixin Huang, Weixin Liao et al.
S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning
Hanqing Zeng, Yinglong Xia, Zhuokai Zhao et al.