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Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown

Title
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs Bowen Jin Ziqi Pang Bingjun Guo Yu-Xiong Wang Jiaxuan You Jiawei Han DiffM 96 2 0 09 Oct 2024
Collusion Detection with Graph Neural Networks Lucas Gomes Jannis Kueck Mara Mattes Martin Spindler Alexey Zaytsev 106 0 0 09 Oct 2024
Faithful Interpretation for Graph Neural Networks Lijie Hu Tianhao Huang Lu Yu Wanyu Lin Tianhang Zheng Di Wang 76 3 0 09 Oct 2024
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs Caglar Demir N'Dah Jean Kouagou Arnab Sharma Axel-Cyrille Ngonga Ngomo 53 0 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 142 1 0 09 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks Mathilde Papillon Guillermo Bernardez Claudio Battiloro Nina Miolane BDL 197 7 0 09 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen Jiadong Wang Han Liu Kyumin Lee Kaize Ding GNN 530 1 0 09 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Sihang Li Congcong Wen Hui Lin Xiang Wang 141 3 0 09 Oct 2024
Molecular Dynamics and Machine Learning Unlock Possibilities in Beauty Design -- A Perspective Yuzhi Xu Haowei Ni Qinhui Gao Chia-Hua Chang Yanran Huo ... Yike Zhang Radu Grovu Min He John Z. H. Zhang Yuanqing Wang AI4CE 85 0 0 08 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 106 0 0 08 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 87 0 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 87 2 0 07 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 74 1 0 07 Oct 2024
Interactive Event Sifting using Bayesian Graph Neural Networks José Nascimento Nathan Jacobs Anderson de Rezende Rocha 48 0 0 07 Oct 2024
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs Hao Miao Zida Liu Jun Gao 81 0 0 07 Oct 2024
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models Xiao Yang Kai Zhou Y. Lai Gaolei Li AAML 51 0 0 07 Oct 2024
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach Sabrina Guidotti Gregor Donabauer Simone Somazzi Udo Kruschwitz D. Taibi D. Ognibene 42 0 0 06 Oct 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks Donald Loveland Danai Koutra 149 2 0 05 Oct 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features Gilchan Park Paul Baity Byung-Jun Yoon Adolfy Hoisie 113 0 0 05 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction Shijin Duan Ruyi Ding Jiaxing He A. A. Ding Yunsi Fei Xiaolin Xu 56 0 0 04 Oct 2024
Text-guided Diffusion Model for 3D Molecule Generation Yanchen Luo Sihang Li Changhao Nai Zhiyuan Liu Jiancan Wu An Zhang Wenjie Du Xiang Wang 97 7 0 04 Oct 2024
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators Sheng Yang Fengge Wu Junsuo Zhao AI4CE 73 1 0 04 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 269 6 0 04 Oct 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction Giuseppe Alessio DÍnverno Saeid Moradizadeh Sajad Salavatidezfouli Pasquale Claudio Africa G. Rozza AI4CE 110 0 0 04 Oct 2024
GraphRouter: A Graph-based Router for LLM Selections Tao Feng Yanzhen Shen Jiaxuan You 203 25 0 04 Oct 2024
LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences Zhenxiao Fu Fan Chen Shan Zhou Haitong Li Lei Jiang 134 5 0 03 Oct 2024
Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging Jiwon Youn Dong Woo Kang Hyun Kook Lim Mansu Kim AI4CE 34 0 0 03 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 81 1 0 03 Oct 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Rieck 115 1 0 03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 90 0 0 02 Oct 2024
Sparse Covariance Neural Networks Andrea Cavallo Zhan Gao Elvin Isufi 55 1 0 02 Oct 2024
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power Zhe Wang Tianjian Zhao Zhen Zhang Jiawei Chen Sheng Zhou Yan Feng Chun Chen Can Wang 81 1 0 02 Oct 2024
Structure-Preserving Operator Learning Nacime Bouziani Nicolas Boullé 72 1 0 01 Oct 2024
WiGNet: Windowed Vision Graph Neural Network Gabriele Spadaro Marco Grangetto Attilio Fiandrotti Enzo Tartaglione Jhony H. Giraldo 61 1 0 01 Oct 2024
LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN Yuxing Zhang Siyuan Meng Chunchun Chen Mengyao Peng Hongyan Gu Xinli Huang 131 1 0 01 Oct 2024
Active Listener: Continuous Generation of Listener's Head Motion Response in Dyadic Interactions Bishal Ghosh Emma Li Tanaya Guha 29 0 0 30 Sep 2024
Computing Systemic Risk Measures with Graph Neural Networks Lukas Gonon Thilo Meyer-Brandis Niklas Weber 109 1 0 30 Sep 2024
MASKDROID: Robust Android Malware Detection with Masked Graph Representations Jingnan Zheng Jiaohao Liu An Zhang Jun Zeng Ziqi Yang Zhenkai Liang Tat-Seng Chua AAML 62 2 0 29 Sep 2024
One Node Per User: Node-Level Federated Learning for Graph Neural Networks Zhidong Gao Yuanxiong Guo Yanmin Gong FedML 70 0 0 29 Sep 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 72 1 0 28 Sep 2024
Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph Guancheng Wan Zewen Liu Max S. Y. Lau B. A. Prakash Wei Jin 141 11 0 28 Sep 2024
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition Wen Ge Guanyi Mou Emmanuel O. Agu Kyumin Lee HAI BDL 62 6 0 27 Sep 2024
Positional Encoder Graph Quantile Neural Networks for Geographic Data William E. R. de Amorim Scott A. Sisson Thaís Rodrigues David J. Nott G. S. Rodrigues 181 0 0 27 Sep 2024
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs Pavel Procházka Marek Dědič Lukáš Bajer GNN 57 0 0 26 Sep 2024
MUSE: Integrating Multi-Knowledge for Knowledge Graph Completion Pengjie Liu 43 0 0 26 Sep 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks Jiong Zhu Gaotang Li Yao-An Yang Jing Zhu Xuehao Cui Danai Koutra 77 4 0 26 Sep 2024
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models Haoran Que Feiyu Duan Liqun He Yutao Mou Wangchunshu Zhou ... Ge Zhang Junran Peng Zhaoxiang Zhang Songyang Zhang Kai Chen LM&MA ELM VLM 106 16 0 24 Sep 2024
Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure Shengjie Xu Lingxi Xie 61 1 0 23 Sep 2024
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images Hongyi Wang Xiuju Du Jing Liu Shuyi Ouyang Yen-Wei Chen Lanfen Lin 72 0 0 23 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 75 2 0 23 Sep 2024