Summary of Graph Neural Networks Gone Hogwild, by Olga Solodova et al.
Graph Neural Networks Gone Hogwildby Olga Solodova, Nick Richardson, Deniz Oktay, Ryan P. AdamsFirst submitted…
Summary of Efficient Long-distance Latent Relation-aware Graph Neural Network For Multi-modal Emotion Recognition in Conversations, by Yuntao Shou et al.
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversationsby Yuntao Shou,…
Summary of Missiongnn: Hierarchical Multimodal Gnn-based Weakly Supervised Video Anomaly Recognition with Mission-specific Knowledge Graph Generation, by Sanggeon Yun et al.
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generationby Sanggeon…
Summary of What Is Missing in Homophily? Disentangling Graph Homophily For Graph Neural Networks, by Yilun Zheng et al.
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networksby Yilun Zheng, Sitao…
Summary of Contactnet: Geometric-based Deep Learning Model For Predicting Protein-protein Interactions, by Matan Halfon et al.
ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactionsby Matan Halfon, Tomer Cohen, Raanan Fattal,…
Summary of Kolmogorov-arnold Graph Neural Networks, by Gianluca De Carlo et al.
Kolmogorov-Arnold Graph Neural Networksby Gianluca De Carlo, Andrea Mastropietro, Aris AnagnostopoulosFirst submitted to arxiv on:…
Summary of Kagnns: Kolmogorov-arnold Networks Meet Graph Learning, by Roman Bresson and Giannis Nikolentzos and George Panagopoulos and Michail Chatzianastasis and Jun Pang and Michalis Vazirgiannis
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learningby Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun…
Summary of Make Graph Neural Networks Great Again: a Generic Integration Paradigm Of Topology-free Patterns For Traffic Speed Prediction, by Yicheng Zhou et al.
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic…
Summary of Large Language Models For Link Stealing Attacks Against Graph Neural Networks, by Faqian Guan et al.
Large Language Models for Link Stealing Attacks Against Graph Neural Networksby Faqian Guan, Tianqing Zhu,…
Summary of Sketch-gnn: Scalable Graph Neural Networks with Sublinear Training Complexity, by Mucong Ding et al.
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexityby Mucong Ding, Tahseen Rabbani, Bang An,…