Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,466 papers shown

Title
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 64 3 0 15 Jun 2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 30 14 0 14 Jun 2023
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation Likang Wu Zhi Li Hongke Zhao Zhe-Feng Wang Qi Liu Baoxing Huai N. Yuan Enhong Chen 39 7 0 14 Jun 2023
Self-supervised Learning and Graph Classification under Heterophily Y. Ding Ziqiang Liu Hao Hao SSL 28 1 0 14 Jun 2023
Building a Corpus for Biomedical Relation Extraction of Species Mentions Oumaima El Khettari Solen Quiniou Samuel Chaffron 26 2 0 14 Jun 2023
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification Qitian Wu Wentao Zhao Zenan Li David Wipf Junchi Yan 27 211 0 14 Jun 2023
Chart2Vec: A Universal Embedding of Context-Aware Visualizations Qing Chen Ying Chen Ruishi Zou Wei Shuai Yi Guo Jiazhe Wang Nana Cao 40 3 0 14 Jun 2023
FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks Mridul Gupta H. Kodamana Sayan Ranu AI4TS 29 17 0 14 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 37 0 0 14 Jun 2023
Explainable and Position-Aware Learning in Digital Pathology Milan Aryal Nasim Yahyasoltani MedIm 30 0 0 14 Jun 2023
Generated Graph Detection Yi Ma Zhikun Zhang Ning Yu Xinlei He Michael Backes Yun Shen Yang Zhang 22 0 0 13 Jun 2023
Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs Haozhen Zhang Xueting Han Xi Xiao Jing Bai 41 8 0 13 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 44 33 0 13 Jun 2023
Operator Learning with Neural Fields: Tackling PDEs on General Geometries Louis Serrano Lise Le Boudec Armand K. Koupai Thomas X. Wang Yuan Yin Jean-Noel Vittaut Patrick Gallinari AI4CE 38 34 0 12 Jun 2023
Dynamic Causal Graph Convolutional Network for Traffic Prediction Junpeng Lin Ziyue Li Zhishuai Li Lei Bai Rui Zhao Chen Zhang GNN AI4TS 18 17 0 12 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 38 7 0 12 Jun 2023
A Graph Transformer-Driven Approach for Network Robustness Learning Yu Zhang Jia Li Jie Ding Xiang Li OOD AAML OffRL 21 3 0 12 Jun 2023
Deep Demixing: Reconstructing the Evolution of Network Epidemics Boning Li Gojko Cutura A. Swami Santiago Segarra 26 0 0 11 Jun 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching Xuanzhou Liu Lin Zhang Jiaqi Sun Yujiu Yang Haiqing Yang 30 2 0 10 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics Anwar Said Roza G. Bayrak Tyler Derr Mudassir Shabbir Daniel Moyer Catie Chang X. Koutsoukos 29 25 0 09 Jun 2023
Virtual Node Tuning for Few-shot Node Classification Zhen Tan Ruocheng Guo Kaize Ding Huan Liu 38 38 0 09 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 31 27 0 09 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 23 12 0 09 Jun 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs Lirong Wu Haitao Lin Yufei Huang Stan Z. Li 32 26 0 09 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 43 6 0 08 Jun 2023
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction Haomin Yu Yanru Song Jilin Hu Chenjuan Guo B. Yang AI4CE 35 4 0 08 Jun 2023
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 33 4 0 08 Jun 2023
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction Xuan Lin Lichang Dai Yafang Zhou Zunpeng Yu Wen Zhang ... Li Zeng Hao-Heng Chen Bosheng Song Philip S. Yu Xiangxiang Zeng GNN 29 56 0 08 Jun 2023
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs Zehui Li Xiangyu Zhao Mingzhu Shen Guy-Bart Stan Pietro Lio Yiren Zhao 33 1 0 08 Jun 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification Nan Yin Libin Shen Mengzhu Wang L. Lan Zeyu Ma C. L. Philip Chen Xiansheng Hua Xiao Luo 48 43 0 08 Jun 2023
Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction Jiaxian Yan Zhaofeng Ye Ziyi Yang Chengqiang Lu Shengyu Zhang Qi Liu J. Qiu 48 11 0 08 Jun 2023
Unified Embedding Based Personalized Retrieval in Etsy Search Rishikesh Jha Siddharth Subramaniyam E. Benjamin T. Taula DML 29 3 0 07 Jun 2023
Neural Embeddings for Protein Graphs Francesco Ceccarelli Lorenzo Giusti S. Holden Pietro Lio 27 0 0 07 Jun 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Jianfei Li Ruigang Zheng Han Feng Ming Li Xiaosheng Zhuang 41 52 0 07 Jun 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 29 1 0 07 Jun 2023
Migrate Demographic Group For Fair GNNs Yanming Hu Tianchi Liao Jialong Chen Jing Bian Zibin Zheng Chuan Chen 26 0 0 07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Yangqiu Song MoE 47 7 0 07 Jun 2023
Fine-grained Expressivity of Graph Neural Networks Jan Böker Ron Levie Ningyuan Huang Soledad Villar Christopher Morris 35 20 0 06 Jun 2023
How does over-squashing affect the power of GNNs? Francesco Di Giovanni T. Konstantin Rusch Michael M. Bronstein Andreea Deac Marc Lackenby Siddhartha Mishra Petar Velivcković 44 36 0 06 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 45 7 0 06 Jun 2023
Logic Diffusion for Knowledge Graph Reasoning Xiaohui Xie Biao Gong Yiliang Lv Zhen Han Guoshuai Zhao Xueming Qian DiffM 21 0 0 06 Jun 2023
Subgraph Networks Based Contrastive Learning Jinhuan Wang Jiafei Shao Zeyu Wang Shanqing Yu Qi Xuan Xiaoniu Yang 33 1 0 06 Jun 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 29 7 0 06 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 57 11 0 05 Jun 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 13 10 0 05 Jun 2023
Structural Re-weighting Improves Graph Domain Adaptation Shikun Liu Tianchun Li Yongbin Feng Nhan Tran Haiying Zhao Qiu Qiang Pan Li OOD AI4CE 27 36 0 05 Jun 2023
Personalized Federated Domain Adaptation for Item-to-Item Recommendation Ziwei Fan Hao Ding Anoop Deoras T. Hoang 40 6 0 05 Jun 2023
Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item J. Cha Haemin Jeong Wooju Kim 12 0 0 05 Jun 2023
Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition Yu-Hsuan Chen L. Kara Jonathan Cagan 41 3 0 05 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 44 65 0 05 Jun 2023