7 citations · 10 across the 4 of their papers we have counts for
4 papers
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Jintang Li, Zhouxin Yu, Zulun Zhu +6
Recent years have seen a surge in research on dynamic graph representation learning, which aims to model temporal graphs that are dynamic and evolving constantly over time. However…
Spiking Graph Convolutional Networks
Zulun Zhu, Jiaying Peng, Jintang Li +3
Graph Convolutional Networks (GCNs) achieve an impressive performance due to the remarkable representation ability in learning the graph information. However, GCNs, when implemente…
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
Dingrong Wang, Hitesh Sapkota, Xumin Liu +1
Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims at finding a specific image from a large gallery given a query sketch. Despite the widespread applicability of FG-SBIR in m…
Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education
Weishi Shi, Samuel Malachowsky, Yasmine El-Glaly +2
Studies indicate that much of the software created today is not accessible to all users, indicating that developers don't see the need to devote sufficient resources to creating ac…