Summary of Dfa-gnn: Forward Learning Of Graph Neural Networks by Direct Feedback Alignment, By Gongpei Zhao et al.
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignmentby Gongpei Zhao, Tao Wang,…
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignmentby Gongpei Zhao, Tao Wang,…
Topology-Aware Dynamic Reweighting for Distribution Shifts on Graphby Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun…
GLADformer: A Mixed Perspective for Graph-level Anomaly Detectionby Fan Xu, Nan Wang, Hao Wu, Xuezhi…
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphsby Haoran Yang, Xiaobing…
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batchby Saurabh Bajaj, Hojae…
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphsby Langzhang Liang,…
Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNsby Frederik Wenkel, Semih Cantürk, Stefan…
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoningby Costas Mavromatis, George KarypisFirst submitted to…
Valid Conformal Prediction for Dynamic GNNsby Ed Davis, Ian Gallagher, Daniel John Lawson, Patrick Rubin-DelanchyFirst…
Can Graph Learning Improve Planning in LLM-based Agents?by Xixi Wu, Yifei Shen, Caihua Shan, Kaitao…